Head of Compliance (APAC / India) – FinTech

FlexM, a licensed payment institution operating across APAC, is seeking an experienced Compliance & Operations leader to head compliance operations, AML/CFT oversight, and operational governance for our growing cross-border payments and remittance business. This role combines strategic compliance leadership with hands-on operational management — overseeing regulatory compliance programs, supporting licensing and regulatory engagements across multiple jurisdictions, and driving operational excellence while working closely with teams in India and across APAC. The ideal candidate brings deep expertise in AML/CFT compliance, payments operations, and regulatory frameworks including FINTRAC requirements in Canada and RBI regulations in India.

• Compliance Strategy & Oversight
  • Define and execute regional compliance and operational strategies across FlexM's business lines including remittance, payments, wallets, and merchant services.
  • Develop, implement, and continuously enhance AML/CFT and regulatory compliance frameworks aligned with global best practices.
  • Conduct regulatory horizon scanning across APAC, Canada, and India.
  • Ensure operational policies and SOPs remain aligned with regulatory and business requirements.
• Operational AML & Compliance Duties (Hands-On)
  • Oversee suspicious transaction reporting (STR/SAR) processes and regulatory filings per FINTRAC and other applicable regulations.
  • Maintain direct oversight of KYC/KYB onboarding, enhanced due diligence, periodic reviews, transaction monitoring, sanctions screening, and regulatory reporting.
  • Ensure adherence to PCMLTFA (Canada), FINTRAC AML guidelines, RBI KYC/AML Master Directions, and FEMA/cross-border remittance regulations.
  • Lead investigations into unusual or suspicious activities and coordinate with regulators or law enforcement where required.
  • Monitor operational compliance metrics and ensure timely remediation of compliance gaps.
• Regulatory Leadership & Licensing Support
  • Support licensing applications and ongoing regulatory compliance activities across India, Canada, Australia, Hong Kong, UAE, and other APAC jurisdictions.
  • Assist in preparing regulatory submissions, responding to regulatory queries, and coordinating audits and inspections.
  • Maintain strong working knowledge of cross-border payments, remittance compliance, digital payments/wallet regulations, and RBI payment system/FEMA requirements.
  • Serve as a key point of contact for internal and external compliance stakeholders.
• Team Leadership & Operational Management
  • Lead and mentor compliance analysts, operations staff, KYC analysts, and regional compliance coordinators.
  • Build scalable operational and compliance processes to support rapid business growth.
  • Drive operational efficiency, process improvement, and adherence to internal controls.
  • Conduct AML/CTF and operational compliance training across teams.
  • Collaborate closely with Product, Risk, Technology, and Customer Operations teams.
• Risk Management & Governance
  • Support enterprise-wide AML/CFT risk assessments and operational risk reviews.
  • Prepare compliance and operational reports for senior management.
  • Ensure robust audit trails, documentation standards, and record-keeping practices.
  • Participate in internal audits, compliance testing, and remediation activities.
• Required Qualifications & Experience
  • 10+ years of progressive experience in compliance, AML/CFT, and operations management within digital payments, cross-border remittance, fintech, banking, or financial services.
  • Proven experience managing AML/KYC operations for regulated financial institutions.
  • Strong working knowledge of FINTRAC/PCMLTFA requirements, RBI KYC/AML Master Directions, FEMA regulations, and cross-border remittance/payment compliance frameworks.
  • Experience supporting regulatory audits, inspections, and licensing activities.
  • Demonstrated experience leading compliance and operations teams.
  • Strong understanding of transaction monitoring, sanctions screening, onboarding controls, and operational risk management.
• Preferred Attributes
  • Prior experience with regulated payment institutions, remittance companies, or fintechs operating across APAC.
  • Exposure to international regulatory environments including Canada, UAE, Australia, and Hong Kong.
  • Professional certifications such as ACAMS, ICA, CAMS, or equivalent AML certification.
  • Master's degree in Law, Finance, Business, or a related discipline preferred.
  • High integrity, sound judgment, and strong leadership presence.
• What This Role Offers
  • Opportunity to play a key role in shaping FlexM's compliance and operational framework across APAC and India.
  • Exposure to international regulatory environments and cross-border payment ecosystems.
  • A strategic leadership role with meaningful operational ownership.
  • Direct impact on organizational growth, regulatory readiness, and operational excellence.
  • Opportunity to work in a dynamic and fast-growing fintech environment supporting global expansion.

About the Job
We are looking for a Head of Solutions Engineering / Head of Technology / Head of Delivery to lead several of our fintech platforms — Neobanking, Business Payments, Domestic Payments, Merchant Payments, Cross-border Payments, and more. This role drives the overall engineering strategy and development, steering the company's technology, engineering, and innovation strategies in alignment with business goals, and leads the architecture and oversight of our fintech products.

• Strategy & Planning
  • Define the development stack, technical roadmap, and IT framework in collaboration with the product team.
  • Establish governance processes to ensure objectives are achieved, risks are managed appropriately, and resources are used responsibly.
  • Develop strategic plans and set timelines for evaluation, development, and deployment of all fintech services.
  • Develop and direct safeguards to reduce the risk of outside breaches, fraud, and compliance issues.
  • Evaluate new technology and make recommendations on technological solutions.
  • Recruit, manage, and mentor a top-class development team.
  • Identify technology-related opportunities and risks for delivering the company's services.
  • Oversee IT budgets to avoid unnecessary expenditures.
  • Establish software development processes and set strategic objectives for the process plan.
  • Use stakeholder feedback to inform necessary improvements and adjustments to technology.
• Implementation & Deployment
  • Establish and supervise a quality assurance process, including integration and system testing.
  • Select, deploy, and monitor performance profiling tools and procedures.
  • Establish an application deployment process and supervise deployment to staging and production servers.
  • Monitor application performance and review any application failures in staging or production.
  • Integrate customer service and support with the software engineering process to support resolution of customer issues.
  • Establish a specification conformance and testing regimen based on user stories and UX design.
• Operational Management
  • Review current best practices and establish the initial architecture for the application.
  • Collaborate with senior management to develop fintech products and related functional/technical specifications.
  • Collaborate with a UX Designer to prepare wireframes or mock-ups of platform prototypes.
  • Select or define the product's software development methodology.
  • Maintain up-to-date knowledge of technology standards, industry trends, and best practices.
  • Ensure technology standards and best practices are maintained across the organization.
  • Supervise system infrastructure, quality assurance, and data protection processes.
  • Monitor KPIs and budgets to assess technological performance.
• Knowledge & Experience
  • 15 to 20 years' experience in a software development, IT, or related role — including 5-10 years in a management or leadership role.
  • Familiar with more than one software development methodology, with hands-on coding experience.
  • Deep understanding of the software development life cycle.
  • Previous experience with product development and building product architecture.
  • Ability to define and drive technical delivery strategy for client engagements, ensuring scalable architecture and alignment with business objectives.
  • Experience owning end-to-end delivery governance with predictable execution and high client satisfaction.
• Education & Skills
  • Bachelor's or Master's degree in Information Technology, Computer Science, or a related field.
  • Experience with relevant technologies: .NET, C#, SQL Server, MongoDB, Solr, Python, Scala, Matlab, Ruby, jQuery, Angular, React, AWS, IIS, GitHub, Grunt/Gulp, Node.JS, Java/C.
  • Mandatory: experience in payments — virtual business accounts, neobanking, business payments, e-wallets, domestic/cross-border payments, merchant payments/acquiring, card issuance, or payment gateways.
  • Mandatory: prior experience as VP Engineering, Head of IT, Tech Lead, or CIO/CTO with a fintech or banking background, focused on client/project delivery.
  • Experience building large backend solutions as an architect, and working with large volumes of customer data.
  • Experience building web and mobile applications, with strong product-oriented technical development understanding.
  • Agile development experience is a strong plus, along with commercial/business understanding and excellent written and oral communication skills.

Role Summary
We are looking for a Machine Learning Architect to design and lead the machine learning architecture for our SaaS platforms. This is a senior, hands-on architecture role focused on building production-grade ML systems for our regtech and fintech platforms. The candidate should be able to design scalable ML systems, guide ML engineers, work closely with data engineering and backend teams, and ensure that models are explainable, auditable, secure, and suitable for regulated business environments.

• ML Architecture & Strategy
  • Design the end-to-end ML architecture for risk scoring, fraud detection, anomaly detection, behavioural analysis, entity resolution, alert prioritization, and predictive intelligence.
  • Define the ML roadmap in collaboration with Product, Compliance, Data, Engineering, and DevOps teams.
  • Select the right ML approach for each use case, including supervised learning, unsupervised learning, graph analytics, rules-assisted ML, anomaly detection, NLP, or hybrid models.
  • Design ML systems for multi-tenant SaaS deployment across cloud environments.
  • Ensure ML solutions are scalable, reusable, secure, and production-ready.
• Model Design & Governance
  • Define standards for feature engineering, model training, validation, versioning, deployment, monitoring, and retraining.
  • Ensure models are explainable, auditable, and suitable for business and compliance users.
  • Create model governance practices including model documentation, model approval, performance benchmarking, drift monitoring, and periodic review.
  • Design champion/challenger model frameworks to continuously improve model performance.
• ML Platform & MLOps Design
  • Define the architecture for feature stores, model registries, experiment tracking, training pipelines, inference APIs, batch scoring, and model monitoring.
  • Work with DevOps, SRE, cloud, backend, and security teams to deploy models safely into production.
  • Design real-time and batch inference workflows.
  • Ensure ML systems are cost-efficient, reliable, and secure.
• Technical Leadership
  • Guide ML Engineers, Data Engineers, GenAI Engineers, and MLOps resources on technical approach.
  • Review model design, data quality, evaluation metrics, code quality, and deployment readiness.
  • Translate business problems into clear ML use cases and technical designs.
  • Create internal ML standards, documentation templates, and review practices.
• Required Experience
  • 10+ years of experience across software engineering, data science, machine learning, or AI engineering.
  • 5+ years of hands-on experience building and deploying ML models in production.
  • Strong experience with classification, clustering, anomaly detection, risk scoring, entity matching, graph analytics, and predictive modelling.
  • Experience designing ML systems for SaaS, fintech, banking, payments, fraud, compliance, or risk platforms is strongly preferred.
  • Experience with cloud ML architecture on AWS and/or GCP.
  • Prior experience leading ML engineers or working as a technical ML lead/architect.
• Required Technical Skills
  • Python, SQL, Pandas, NumPy, Scikit-learn.
  • XGBoost, LightGBM, CatBoost, TensorFlow, or PyTorch.
  • Feature engineering, model evaluation, model explainability, and drift detection.
  • MLflow, SageMaker, Vertex AI, Kubeflow, Airflow, or similar tools.
  • Batch and real-time inference architecture.
  • APIs, microservices, data pipelines, and cloud deployment.
  • Data quality, data lineage, and model governance.
• Good to Have
  • Graph ML or graph database experience.
  • Entity resolution and name-matching experience.
  • Fraud, risk, payments, customer intelligence, or compliance analytics experience.
  • NLP or text classification experience.
  • LLM integration, RAG, or GenAI-assisted workflow experience.
  • Experience working in regulated environments with audit and governance requirements.
• Must Requirement
  • Candidate must have already designed and deployed ML models into real production systems, not just notebooks or research projects. Demonstrated experience to challenge weak ML design, guide engineers, work with business teams, and build models that are explainable, measurable, and production-ready.

ATS Keywords
Machine Learning Architect, ML Architect, AI Architect, Machine Learning, MLOps, Model Deployment, Model Governance, Feature Engineering, Risk Scoring, Fraud Detection, Anomaly Detection, Entity Resolution, Graph Analytics, Behavioural Analytics, Predictive Modelling, XGBoost, LightGBM, Scikit-learn, Python, SQL, AWS SageMaker, GCP Vertex AI, MLflow, Model Monitoring, Model Drift, Explainable AI, SaaS, FinTech, RegTech, Compliance Analytics.

About the Role
We are seeking an experienced QA Lead cum Scrum Master with a proven track record of driving Agile transformation and delivering high-value technology solutions in the FinTech domain. The ideal candidate will be an expert in Agile frameworks, a servant-leader for cross-functional teams, and a strategic partner for product and business stakeholders, while also owning quality assurance standards across delivery.

• Key Responsibilities
  • Act as a servant leader and coach for 2–3 Agile squads within the FinTech domain.
  • Partner with Product Owners and Business Analysts to ensure clear product vision, backlog refinement, and prioritization.
  • Facilitate all Scrum ceremonies (Daily Standups, Sprint Planning, Reviews, Retrospectives, PI Planning for SAFe if applicable).
  • Remove impediments to delivery, working with stakeholders across engineering, compliance, risk, and business teams.
  • Drive adoption of Agile at Scale frameworks (SAFe, LeSS, or Spotify model) across the fintech portfolio.
  • Ensure teams adhere to regulatory, compliance, and security standards critical to the financial industry.
  • Use data-driven metrics (velocity, burndown, cycle time, defect leakage) to optimize delivery performance.
  • Mentor junior Scrum Masters and QA engineers, contributing to the Agile Center of Excellence.
  • Foster a culture of transparency, collaboration, innovation, and continuous improvement.
  • Align delivery outcomes with business priorities in payments, digital banking, lending, trading, or wealth management.
• Skills & Qualifications
  • 6-8 years of professional experience, with at least 5 years as a Scrum Master in complex, regulated industries (FinTech, Banking, Payments, Insurance, Trading Platforms, etc.).
  • Strong expertise in Agile methodologies (Scrum, Kanban, SAFe, LeSS, Spotify model).
  • Proven ability to facilitate end-to-end delivery of large-scale digital financial products.
  • Excellent stakeholder management, with experience partnering with product, compliance, and technology leadership.
  • Strong knowledge of financial regulations, compliance, and risk frameworks (e.g., PCI DSS, PSD2, SOX, KYC/AML).
  • Skilled in Agile tools (Jira, Confluence, Rally, Azure DevOps).
  • Exceptional facilitation, conflict resolution, and servant-leadership skills.
  • Strong analytical mindset with experience using Agile metrics for decision-making.
  • Certifications preferred: CSM, PSM II/III, SAFe Agilist, ICP-ACC, CSP-SM.
• Why Join Us?
  • Opportunity to drive Agile transformation in a high-growth FinTech environment.
  • Work on cutting-edge financial technology solutions shaping the future of digital banking, payments, and investments.
  • Collaborative, innovative, and inclusive workplace culture.

Description:
We are looking for a highly skilled computer programmer who is comfortable with both front and back end programming. Full stack developers are responsible for developing and designing front end web architecture, ensuring the responsiveness of applications, and working alongside graphic designers for web design features, among other duties. The latter requires a comprehensive understanding of various front-end technologies, the core being HTML, CSS, and JavaScript. It is also beneficial for the engineer to be familiar with various frameworks and libraries, but the specific ones are down to personal preference
Responsibilities:
• Work with development teams and product managers to ideate software solutions
• Design client-side and server-side architecture
• “Pixel-perfect” implementation of our approved user interface.
• Develop and manage well-functioning databases and applications
• Ensuring cross-platform optimization for mobile phones.
• Ensuring responsiveness of applications.
• Ability to write effective Rest APIs
• Test software to ensure responsiveness and efficiency
• Troubleshoot, debug and upgrade software
• Implementing effective security protocols, data protection measures, and storage solutions
• Build features and applications with a mobile & web responsive design
• Documenting technical processes, including database schemas, frontend designs, as well as
preparing reports.
• Recommending and implementing improvements to processes and technologies
• Keeping informed of advancements in the field of software development
Requirements:
• 4-6 years of experience
• Candidates must have prior experience with SaaS-based products or platforms
• Bachelor’s Degree in Computer Science, Computer Engineering or related field.
• Strong organizational and project management skills.
• Proficiency with fundamental frontend frameworks such as Angular/React, HTML, CSS,
Bootstrap, RxJs and JavaScript.
• Proficiency with fundamental backend such as Nodejs, Nestjs
• Familiarity with database technology such as MySQL, SQLServer ,Postgresql and
MongoDB.
• Familiarity with third party libraries.
• Development experience for both mobile and desktop screens with responsive design.
• Excellent verbal communication skills.
• Good problem-solving skills.

‍Key Responsibilities

• Design, develop, train, validate, and optimize machine learning models.
• Build classification, regression, clustering, ranking, recommendation, anomaly detection, and forecasting models.
• Perform feature engineering, feature selection, model tuning, and model evaluation.
• Conduct experimentation and statistical analysis to improve model performance.
• Develop models that identify behavioural patterns, trends, anomalies, and relationships within large datasets.
• Develop predictive models using historical data.
• Build scoring frameworks and risk prediction models.
• Develop propensity, segmentation, and forecasting models.
• Develop graph-based analytics and relationship detection models.
• Perform hyperparameter tuning and model optimization.
• Compare model performance across different algorithms and approaches.
• Continuously improve accuracy, precision, recall, and explainability.
• Deploy machine learning models into production environments.
• Implement model monitoring, performance tracking, drift detection, retraining, and version control.
• Collaborate with engineering teams to integrate models into production systems and APIs.
• Work closely with Data Engineers to define data requirements and data quality standards.
• Collaborate with Software Engineers to operationalize machine learning solutions.
• Partner with business stakeholders to translate requirements into machine learning solutions.

Required Skills & Experience

• Strong experience designing, training, validating, and deploying machine learning models.
• Hands-on experience with classification, clustering, anomaly detection, predictive modelling, and scoring models.
• Strong understanding of feature engineering, model evaluation, and hyperparameter tuning.
• Advanced Python and Strong SQL and data analysis skills
• Experience with one or more of these frameworks- Scikit-Learn XGBoost / LightGBM / TensorFlow/ PyTorch
• Experience working with large datasets and building data-driven solutions.
• Familiarity with Spark / PySpark is preferred.
• Experience deploying machine learning solutions on AWS.
• Familiarity with S3, Lambda, SageMaker, and cloud-based ML workflows.
• Experience with Docker, CI/CD, model deployment, and model monitoring.

‍
Ideal Candidate

• 5-10yrs+ years of hands-on experience developing and deploying machine learning models in production environments.
• Proven experience taking machine learning solutions from data exploration and model development through deployment, monitoring, and continuous improvement.
• Strong practical expertise in Python, SQL, and modern machine learning frameworks such as Scikit-Learn, XGBoost, TensorFlow, or PyTorch.
• Demonstrated experience working with large-scale datasets and solving complex analytical problems using machine learning techniques.
• Strong understanding of feature engineering, model evaluation, model explainability, and performance optimization.
• Experience collaborating with Data Engineering and Software Engineering teams to operationalize machine learning solutions.
• Comfortable working independently, conducting experiments, validating hypotheses, and translating ambiguous business problems into data-driven solutions.
• Strong software engineering discipline, including version control, testing, documentation, and production deployment practices.
• Experience with cloud-based machine learning environments, preferably AWS. Highly Preferred
• Experience in behavioural analytics, anomaly detection, predictive scoring, entity resolution, graph analytics, or network analysis.
• Experience building production-grade machine learning systems that directly influence business decisions or operational workflows.
• Experience working in highly regulated, data-intensive, or transaction-intensive environments.

‍
Not Suitable For

• Candidates whose experience is primarily academic or research-based with limited production deployment experience.
• Candidates focused solely on reporting, dashboarding, or traditional business intelligence.
• Candidates with only GenAI/prompt engineering experience and limited machine learning fundamentals.
• Candidates without hands-on model development and deployment experience.

‍

About the Role

We are looking for an AI Data Engineer to design, build, and operate large-scale data ingestion and enrichment pipelines.  

This is a hands-on technical role focused on:

• Large-scale web data extraction and normalization
• Development, Monitoring data pipelines,  
• Anvestigating data issues, and fixing web data extraction logic at the source and
• Apply Generative AI techniques to improve text quality, structure, deduplication, and enrichment before data is consumed by ML models

The ideal candidate  debugging, reverse-engineering websites, and working deeply with HTML, JSON, and web scraping logic using AI based Techniques

Key Responsibilities:

• Develop ETL and data parsing pipelines to ensure data quality and availability
• Act as first-level responder for data quality alerts and failed jobs
• Investigate data anomalies by comparing system data with live websites
• Perform root cause analysis to identify parsing issues, site changes, or source data errors
• Implement monitoring, logging, and validation checks across pipelines
• Data Extraction & Fixes
• Develop, modify, and debug web data extraction logic
• Write and maintain parsing rules using CSS Selectors, Regex, and JQ
• Parse complex and nested HTML and JSON structures
• Optimize extraction logic for performance and scalability
• Implement fallback and validation strategies to ensure data reliability
• Development & Expansion
• Handle ad-hoc requests for adding new data fields
• Onboard large portals in building extraction logic from scratch

Required Skills (Must-Have):

• Strong experience in AI based Web Scraping / Data Extraction / Data Parsing
• Hands-on experience with HTML and JSON
• Strong knowledge of CSS Selectors and Regular Expressions (Regex)
• Experience using JQ / JSON Query / Jackson JQ
• Experience with ETL pipelines and data quality monitoring
• Ability to debug production data issues and perform root cause analysis
• Good to Have Python for web scraping or data handling
• XPath, REST APIs

Good to Have:

• Experience applying LLMs / GenAI for text processing or enrichment
• Familiarity with multilingual text handling and normalization
• Experience with REST APIs and asynchronous data ingestion

‍Key Responsibilities

• Design, develop, train, validate, and optimize machine learning models.
• Build classification, regression, clustering, ranking, recommendation, anomaly detection, and forecasting models.
• Perform feature engineering, feature selection, model tuning, and model evaluation.
• Conduct experimentation and statistical analysis to improve model performance.
• Develop models that identify behavioural patterns, trends, anomalies, and relationships within large datasets.
• Develop predictive models using historical data.
• Build scoring frameworks and risk prediction models.
• Develop propensity, segmentation, and forecasting models.
• Develop graph-based analytics and relationship detection models.
• Perform hyperparameter tuning and model optimization.
• Compare model performance across different algorithms and approaches.
• Continuously improve accuracy, precision, recall, and explainability.
• Deploy machine learning models into production environments.
• Implement model monitoring, performance tracking, drift detection, retraining, and version control.
• Collaborate with engineering teams to integrate models into production systems and APIs.
• Work closely with Data Engineers to define data requirements and data quality standards.
• Collaborate with Software Engineers to operationalize machine learning solutions.
• Partner with business stakeholders to translate requirements into machine learning solutions.

Required Skills & Experience

• Strong experience designing, training, validating, and deploying machine learning models.
• Hands-on experience with classification, clustering, anomaly detection, predictive modelling, and scoring models.
• Strong understanding of feature engineering, model evaluation, and hyperparameter tuning.
• Advanced Python and Strong SQL and data analysis skills
• Experience with one or more of these frameworks- Scikit-Learn XGBoost / LightGBM / TensorFlow/ PyTorch
• Experience working with large datasets and building data-driven solutions.
• Familiarity with Spark / PySpark is preferred.
• Experience deploying machine learning solutions on AWS.
• Familiarity with S3, Lambda, SageMaker, and cloud-based ML workflows.
• Experience with Docker, CI/CD, model deployment, and model monitoring.

‍
Ideal Candidate

• 5-10yrs+ years of hands-on experience developing and deploying machine learning models in production environments.
• Proven experience taking machine learning solutions from data exploration and model development through deployment, monitoring, and continuous improvement.
• Strong practical expertise in Python, SQL, and modern machine learning frameworks such as Scikit-Learn, XGBoost, TensorFlow, or PyTorch.
• Demonstrated experience working with large-scale datasets and solving complex analytical problems using machine learning techniques.
• Strong understanding of feature engineering, model evaluation, model explainability, and performance optimization.
• Experience collaborating with Data Engineering and Software Engineering teams to operationalize machine learning solutions.
• Comfortable working independently, conducting experiments, validating hypotheses, and translating ambiguous business problems into data-driven solutions.
• Strong software engineering discipline, including version control, testing, documentation, and production deployment practices.
• Experience with cloud-based machine learning environments, preferably AWS. Highly Preferred
• Experience in behavioural analytics, anomaly detection, predictive scoring, entity resolution, graph analytics, or network analysis.
• Experience building production-grade machine learning systems that directly influence business decisions or operational workflows.
• Experience working in highly regulated, data-intensive, or transaction-intensive environments.

‍
Not Suitable For

• Candidates whose experience is primarily academic or research-based with limited production deployment experience.
• Candidates focused solely on reporting, dashboarding, or traditional business intelligence.
• Candidates with only GenAI/prompt engineering experience and limited machine learning fundamentals.
• Candidates without hands-on model development and deployment experience.

About the job
We are looking for a Product Manager to organize, prioritize and assess work for our scrum team. Product Manager’s responsibilities include defining the product strategy and priorities, evaluating ideas, creating, and communicating product roadmap, gathering requirements, designing and ensuring timely delivery with respective technical team, scheduling releases and coordinating sprints. To be successful in this role, you should be able to identify user needs and work with cross-functional teams to manage product releases. Ultimately, you’ll help us roll-out products that deliver our company’s vision.

‍
Job Responsibilities‍

• Define and elaborate vision of the product
• Monitor and analyse market trends and Study competitors’ services and products
• Explore new ways of improving existing services and products
• Document features and functionality by collaborating with prospective users and clients to understand and anticipate their needs.
• Create the development roadmap based on vision, priority and requirements
• Manage the development backlogs and prioritizing them based on changing requirements.
• Overseeing all the stages of the product development including design and development.
• Develop user stories
• Monitoring and evaluating product progress at each stage of the process
• Liaising with the development team, testing, QA and end-users (internal / external) to deliver updates
• Participating in Scrum meetings, project meetings and product sprints
• Provide product training and technical expertise
• Work within a software development methodology like AGILE
• Coordinate product releases with marketing, sales, and development teams
• Answer product related inquiries

Requirements‍

• 10 years of work experience as Product Manager or similar role in product management
• Hands-on experience managing the complete product lifecycle, with a strong background in Business Analysis and demonstrated expertise in UI/UX principles and practices
• Customer centric and client focused mindset with ability to rapidly gain/build trust and confidence of internal and external stakeholders.
• Proven effectiveness driving complex multi-stakeholder planning processes, driving cross-team programs to desired results, and managing risk.
• Project/program management leadership including scope, schedule, budget, quality, risk, communications, procurement, and human resources management.
• Proven competency in strategic leadership, executive communication and influence, organizational agility, cross-team collaboration, and drive for results.
• Agile framework development and ways of working experience in these areas.
• Solid understanding of software product development lifecycle, controls, security, and E2E product implementations with technical or banking background.
• Experience in Banking IT or Fintech is an added advantage
• Should be flexible for Afternoon or Night shift.

Role Summary
We are looking for a Senior Engineering Manager with strong Solution Architecture experience to lead SaaS platform delivery, technical design, engineering execution, and
client/product integrations. This role is ideal for someone who has grown from a hands-on software engineering / solution architecture background into engineering leadership. The person should be able to guide teams, review architecture, manage delivery, improve engineering quality, and work closely with product, DevOps, QA, security, and client-facing teams.
‍
Key Responsibilities
Engineering Leadership

• Lead and manage a team of backend, frontend, QA, and integration engineers.
• Own sprint execution, release planning, engineering delivery, and production stability.
• Break product requirements into clear technical work items with timelines and ownership.
• Improve team productivity, engineering discipline, code quality, and accountability.
• Mentor developers and technical leads.

Solution Architecture

• Design scalable SaaS architecture for client onboarding, workflows, APIs, integrations, dashboards, and admin portals.
• Translate business and product requirements into technical architecture, data flows, and integration designs.
• Define API structures, authentication flows, webhook events, data models, and configuration logic.
• Decide what should be product-configurable versus custom development.
• Review technical designs before development starts to reduce rework.

SaaS Platform Delivery

• Ensure the platform is scalable, secure, configurable, multi-tenant, and easy to deploy.
• Work with Product Managers to plan modules, features, user stories, and release milestones.
• Ensure strong backend, frontend, database, API, and cloud architecture practices.
• Drive timely delivery of SaaS features from design to production.
• Coordinate with DevOps/SRE teams on CI/CD, deployment, monitoring,

Quality, Security & Governance

• Enforce secure coding, API security, access control, audit logs, and data protection practices.
• Work with InfoSec and DevOps teams to ensure cloud, infrastructure, and application security.
• Improve QA processes, test coverage, regression testing, and UAT readiness.
• Track and reduce production bugs, technical debt, and performance bottlenecks.
• Maintain technical documentation, architecture diagrams, and release notes.

Client & Internal Stakeholder Collaboration

• Support client-facing discussions where technical solutioning is required.
• Work with sales, delivery, product, and implementation teams to assess client requirements.
• Explain technical trade-offs clearly to non-technical stakeholders.
• Help design implementation approaches for complex client integrations.

Required Experience

• 10–14+ years of software engineering experience.
• At least 3–5 years in engineering management or technical leadership.
• Prior experience as a Solution Architect, Technical Architect, Lead Engineer, or Senior Backend Engineer.
• Strong experience building and scaling B2B SaaS platforms.
• Experience managing engineering teams of 6–15 people.
• Strong background in APIs, integrations, microservices, cloud architecture, databases, and security.
• Experience working with product, QA, DevOps, security, and implementation teams.
• Prior experience in regulated industries, fintech, banking, payments, compliance, identity, risk, or enterprise SaaS is preferred.

Technical Skills

• SaaS architecture and multi-tenant platform design
• REST APIs, webhooks, API gateway, authentication, authorization
• Microservices or modular backend architecture
• Cloud platforms such as AWS, GCP, or Azure
• CI/CD, DevOps, monitoring, logging, and release management
• SQL / NoSQL databases
• Event-driven architecture and asynchronous processing
• System design, scalability, performance, and reliability
• Secure coding, encryption, RBAC, audit trails, and data privacy
• Frontend/backend integration understanding
• Experience with Node.js, NestJS, React, Java, Python, or similar modern stacks
• Experience with AWS Lambda, S3, queues, containers, Kubernetes, or serverless architecture
• Experience with enterprise client integrations
• Experience with configurable workflow engines, form builders, rule engines, or admin platforms
• Experience with SOC 2, ISO 27001, data localization, or regulated SaaS environments

Must demonstrate the ability to -

• Understand business requirements quickly
• Design the right technical solution
• SaaS features delivered on time with fewer delays
• Better quality releases with fewer production issues
• Clear technical designs before development starts
• Reduced rework and dependency confusion
• Faster client delivery
• Improved developer productivity
• Better sprint predictability
• Stronger platform scalability, security, and maintainability

Job Summary
We are looking for a skilled Automation Engineer with a strong background in automation testing. The ideal candidate will have hands-on experience in automation frameworks, be proficient in programming languages, and actively contribute to improving product quality within an Agile environment.
‍
Key Responsibilities
• Identify testing requirements during sprint cycles and ensure timely execution.
• Perform manual testing and develop automation scripts for new and existing features.
• Build and maintain automation frameworks using tools like Selenium and Cucumber.
• Execute various types of testing including Unit, Functional, API, and Load testing.
• Analyze test results, log defects, and track them to closure.
• Ensure product quality through thorough validation and verification processes.
• Participate in performance and load testing activities.
• Work closely with development and product teams in an Agile environment.
• Participate in sprint planning, stand-ups, and retrospectives.
• Review QA processes and suggest improvements to enhance efficiency and eliminate redundancies.
• Assist in planning, creating, and managing test environments and test data.
• Ensure readiness of test setups for execution

Required Skills
• 6+ years of experience in Quality Engineering roles.
• 1+ years of experience in Java, Javascript or c#.
• Hands-on experience with:
o Selenium
o Cucumber
o Postman
o IDEs (Eclipse, IntelliJ, VS Code, etc.)
• Strong understanding of automation testing frameworks.
• Experience in writing and maintaining automation test scripts.
• Exposure to:
o Unit Testing
o Functional Testing
o API Testing
o Load/Performance Testing

‍About the job
We are looking for a technical lead to architect and oversee building of Fintech products. Technical lead responsibilities include delivering on the product strategy and
priorities, evaluating ideas, creating, and communicating software development roadmap, gathering requirements, designing, and ensuring timely delivery with respective technical team, scheduling releases and coordinating sprints. To be successful in this role, you should be able to identify company’s product needs and work with cross functional teams to manage product releases. Ultimately, you’ll help us roll-out products that deliver our company’s vision.

Roles and Responsibilities:

• Collaborate with a globally distributed team to design, code and test robust scalable components.
• Collaborate with the team and develop the fintech product as per the functional and technical specifications that describe the implementation of the company's Fintech services.
• Collaborate with a User Experience Designer to prepare wireframes or mock-ups of a prototype of the platform and services.
• Develop using the defined software development methodology and maintain the product.
• Respond to the infield issues and provide fixes as per the SLA defined.
• Use best practices for the selected framework and come up with design for the requirement before the development.
• Take part in product support, bug triaging, and bug fixing activities to ensure the service meets its SLA commitments.
• Serve as source of technical expertise to a project team and as a mentor of junior staff members
• Collaborate during the quality assurance process, including integration and system testing.
• Monitor application performance and review any application failures in staging or production. Maintain up-to-date knowledge of technology standards, industry trends, emerging technologies, and software development best practices.
• Ensure that technology standards and best practices are maintained across all the products involved
• Collaborate with the system infrastructure team for the deployment through CI/CD.
• Perform code reviews.
• Consistently apply forward thinking software design, implementation and test principles
• Act as role model for communication, professionalism, and technical excellence across all levels of the organization

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Education & Skills‍

• Bachelor's degree / Master’s degree in information technology, computer science, or related field
• 7-8 years of experience in secure software development within enterprise environments.
• Strong expertise in coding with Nodejs / Nestjs , React , JQuery along with MySQL and MongoDB database
• Strong expertise on developing web apis and contracts.
• Experience in using AI agents is preferred.
• Hands on experience with Docker and CI/CD as well as developing applications using distributed microservices architecture within cloud platforms such as GCP and AWS
• Has experience working in a product for a financial institution or a fintech company.
• Strong understanding of security , resilience , scalability and performance best practices.
• Demonstrated ability to mentor and develop junior engineers

Job Overview:
We are seeking a highly skilled Tech Delivery Lead with expertise in Angular, MySQL, and Node.js to oversee and drive the successful delivery of technology projects. The ideal candidate will have a strong background in software development, architecture, and team leadership, ensuring high-quality solutions are delivered on time and within scope. This role involves collaborating with cross-functional teams, managing technical resources, and implementing best practices to ensure project success.

Key Responsibilities:‍

• Technical Leadership: Lead and mentor a team of developers, ensuring best coding practices and architectural principles are followed.
• Project Delivery: Oversee end-to-end technical delivery, ensuring projects are completed on time, within budget, and with high quality.
• Solution Architecture: Design scalable, high-performance, and secure applications using Angular, MySQL, and Node.js.
• Code Review & Quality Assurance: Enforce code quality, conduct reviews, and implement automated testing frameworks.
• Collaboration: Work closely with product managers, designers, and business stakeholders to translate requirements into technical solutions.
• Agile & DevOps Implementation: Promote agile methodologies, CI/CD pipelines, and DevOps practices to streamline development and deployment.
• Risk Management: Identify technical risks, dependencies, and potential blockers while proactively addressing them.
• Stakeholder Communication: Act as the primary technical point of contact for internal and external stakeholders.
• Performance Optimization: Continuously improve application performance, scalability, and security.
• Innovation: Stay updated with emerging technologies and suggest improvements to existing processes and technology stack.

Required Skills & Qualifications:‍

• 10+ years of experience in software development, with at least 5 years leading technology teams.
• Expertise in Angular, MySQL, and Node.js, with hands-on experience in full-stack development.
• Strong understanding of microservices architecture, RESTful APIs, and database design.
• Experience with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).
• Proficiency in version control (Git), CI/CD pipelines, and DevOps tools.
• Hands-on experience with Agile methodologies (Scrum, Kanban) and project management tools (JIRA, Trello).
• Excellent problem-solving, decision-making, and leadership skills.
• Strong communication skills with the ability to work effectively in a distributed team environment.
• Ability to mentor and upskill junior developers and drive a culture of innovation.

Preferred Qualifications:‍

• Experience in fintech, e-commerce, and/or enterprise applications.
• Knowledge of GraphQL, WebSockets, or event-driven architectures.
• Familiarity with serverless computing and API gateways.
• Certifications in cloud computing, project management, or Agile frameworks.

Role Overview
We are seeking a Senior Solution Architect with deep expertise in Fintech, Payments, and Compliance systems to design and deliver secure, scalable, and high-performance applications. You will lead the architecture of multi-tenant SaaS solutions for global markets, ensure compliance with regulatory requirements (PCI-DSS, GDPR, MAS), and guide engineering teams in implementing robust solutions using Node.js, Angular/React, MySQL, PostgreSQL, AWS, and GCP.

Key Responsibilities
Solution Architecture & Design
- Design end-to-end multi-tenant SaaS architectures for payments, remittance, and compliance platforms.
- Create high-level & low-level architecture diagrams, technical documentation, and integration blueprints.
- Ensure solutions meet non-functional requirements such as scalability, security, availability, and performance.

Domain Expertise – Fintech & Compliance
- Architect systems for payment gateways, wallets, cross-border remittance, FX rate management.
- Implement AML/KYC onboarding flows, transaction screening, fraud detection, and sanctions list checks.
- Ensure full compliance with PCI-DSS, GDPR, MAS, ISO 27001 and local financial regulations.

Technical Leadership
- Lead engineering teams across backend, frontend, and DevOps in delivering architecture aligned solutions.
- Mentor developers on Node.js, Angular/React, microservices, API design, and database optimization.
- Review and approve code, architecture decisions, and deployment strategies.

Backend Development
- Architect Node.js (NestJS/Express) microservices with REST/GraphQL APIs. - Design high-performance MySQL & PostgreSQL schemas for transactional workloads. -
Implement caching strategies with Redis and message queues (Kafka/PubSub).

Frontend Development
- Guide development of Angular/React frontends with secure and accessible UI components. - Ensure seamless integration with backend APIs and real-time event streams.

Cloud & DevOps
- Deploy applications on AWS (EC2, RDS, Lambda, API Gateway) and/or GCP (GKE, Cloud SQL, Pub/Sub).
- Define CI/CD pipelines (GitLab/Jenkins) and implement Infrastructure as Code with Terraform.
- Implement disaster recovery, backup strategies, and monitoring (Prometheus, Grafana).

Stakeholder Management
- Collaborate with product managers, compliance officers, and external partners to align technical solutions with business needs.
- Present architecture decisions to C-level executives and regulatory bodies.

Required Skills & Experience
- 14+ years in software development, 5+ years in architecture roles.
- Strong experience with Node.js, Angular/React, MySQL, PostgreSQL. - Expertise in Payments, Remittance, and Compliance systems.
- Strong understanding of PCI-DSS, GDPR, AML, KYC compliance requirements. - Proven track record of designing microservices-based architectures. - Experience in AWS and/or GCP cloud environments.
- Strong leadership, communication, and stakeholder engagement skills.
‍
Preferred Skills

- Experience with Kubernetes, Docker, Terraform.
- Familiarity with Trulioo, Onfido, or other identity verification APIs. - Knowledge of blockchain-based payments or real-time payment networks (UPI, Faster Payments).
- Background in FX rate management and currency conversion APIs.

Role Overview:
We are looking for a Tech Ops / SRE Manager to own production stability, incident response, monitoring, uptime, root cause analysis, and reliability operations across our SaaS platforms. This role will ensure production issues are handled quickly, recurring failures are reduced, and reliability standards are implemented across AWS and GCP environments.

‍
Key Responsibilities:

• Own production support and reliability operations for SaaS platforms.
• Define, monitor, and improve uptime, SLAs, SLOs, SLIs, MTTR, and incident trends.
• Manage incident response, escalation, communication, and post-incident reviews.
• Ensure proper root cause analysis and corrective action tracking.
• Build and maintain monitoring, alerting, and operational dashboards.
• Coordinate with Engineering, Cloud, InfoSec, and Product teams during incidents and releases.
• Create and maintain runbooks, escalation matrices, and production support processes.
• Identify recurring production issues and ensure permanent fixes are implemented.
• Support disaster recovery testing, backup validation, and business continuity readiness.
• Improve system reliability through automation, health checks, and preventive controls.

Required Experience:

• 8-12 years of experience in Tech Ops, Production Support, Infrastructure, SRE, or Platform Operations.
• 3–5 years in a lead or manager role.
• Mandatory experience supporting SaaS or cloud-based production systems.
• Strong experience with incident management, RCA, monitoring, alerting, and production operations.
• Experience with AWS, GCP, Kubernetes, Docker, and modern observability tools.
• Prior experience in fintech, payments, banking, compliance SaaS, or regulated environments is strongly preferred.

Ideal Candidate:

A calm and structured production leader with SaaS operations experience and strong preference for fintech/payments/banking exposure. The candidate should be able to manage incidents, improve uptime, reduce recurring issues, and bring discipline to production operations.

Mandatory Experience Requirement
Mandatory: Prior experience managing production reliability for a SaaS or cloud-based product company.
Strongly preferred: Experience in fintech, payments, banking, or regulated SaaS environments.
5+ years of experience ,
3–5 years in a lead or manager role

About Us:
FlexM is an award-winning FinTech company recognized as ASEAN’s Most Innovative FinTech by the Monetary Authority of Singapore (MAS). With regulatory licenses from MAS Singapore and FINTRAC Canada, we are committed to delivering compliant, cutting-edge financial solutions. We provide a comprehensive suite of fintech products that empower businesses with seamless financial integrations:
• FlexPay – A next-gen e-payment ecosystem with multi-currency wallets, digitalvpayments, loyalty programs and merchant acquisition solution.
• FlexPay Business – A corporate payment platform streamlining multi-currency vaccounts, global transactions, and automated payroll processing.
• FlexRemit – A real-time, multi-currency cross-border remittance backend solution with built-in compliance tools.
• FlexComply – An AI-powered RegTech solution for AML compliance, purpose-built for banks, fintechs, NBFCs, and regulated financial entities. It streamlines KYC/KYB onboarding, transaction monitoring, risk profiling, real-time screening, periodic reviews, and automated regulatory reporting, offering a unified 360° compliance management system.
• FlexMerchants – It serves as a unified merchant management system — built to manage payments, payouts, collections, and settlements effortlessly.

Role Overview:
As an L2 FinTech Technical Operations Engineer, you will be the backbone of our financial technology ecosystem. Acting as the critical bridge between support, core engineering, and vendor teams, you will troubleshoot complex application issues, manage production incidents, and ensure uninterrupted operations for our high-stakes financial applications

1. Incident Management & Troubleshooting

• Triage, diagnose, and resolve escalated incidents from Clients within strict Service Level Agreements (SLAs).
• Execute in-depth log analysis (using Splunk, ELK, or Datadog) to identify root causes of application errors, API failures, or transaction drops.
• Perform root cause analysis (RCA) and implement temporary workarounds or permanent technical fixes.
• Manage high-severity (Sev1/Sev2) incidents affecting production environments and communicate effectively with stakeholders.

2. System Operations & Maintenance‍

• Monitor application health, system capacity, and availability, proactively preventing performance bottlenecks.
• Manage deployment coordination, patches, and hotfixes in production and staging environments.
• Handle end-of-day (EOD) batch processing, reconciliation activities, and ledger balancing specific to FinTech workflows.

3. Database & API Management‍

• Write complex SQL queries for data extraction, troubleshooting transaction discrepancies, and backend debugging.
• Troubleshoot RESTful and SOAP APIs using tools like Postman and cURL

‍
4. Compliance, Audit, & Documentation

• Maintain and update technical playbooks, standard operating procedures (SOPs), and architecture documentation

5. Predictive Incident Management
AI-powered observability platforms predict system bottlenecks—such as CPU spikes, memory leaks, or payment delays—before they cause outages or transaction failures.
‍
6. Intelligent Ticketing & Support
· AI chatbots and copilots triage, summarize, and auto-resolve tier-1 user and system-generated incidents, allowing engineers to focus on critical infrastructure tasks.
‍
7. Observability & APM
· AI-driven platforms like Dynatrace and Datadog or any other similer toos provide automated anomaly detection and predictive scaling for cloud operations.

8. AI-Assisted ITSM
· Tools like Zendesk or other tools AI integrate with ticketing systems to route incidents, flag high-risk customer interactions, and speed up L2 support escalations"

Technical Requirements & Qualifications

• Education: Bachelor's degree in Computer Science, IT, or a related financial/technical field.
• Experience: 2+ years of experience in FinTech, banking, or large-scale transactional application support.
• SQL & Database: Strong RDBMS skills; proficiency in writing complex queries across databases like PostgreSQL, MySQL, or MS SQL Server.
• Monitoring & Observability: Hands-on experience with log analysis tools (Splunk, ELK, Datadog, or Dynatrace).
• Scripting/OS: Working knowledge of Linux/Unix environments and proficiency in basic scripting (Bash, Python) for automation.
• Networking/Cloud: Basic understanding of cloud infrastructure (AWS, Azure, or GCP) and core networking concepts (HTTP, DNS, TLS).
• Tools: Proficiency with IT Service Management (ITSM) tools (Jira, ServiceNow, PagerDuty).

Professional Attributes‍

• Critical Thinking: Demonstrated problem-solving capabilities paired with a high degree of precision.
• Interpersonal Skills: Superior command of spoken and written language, with the talent for translating technical jargon for diverse audiences.
• Resilience: Proven capacity to maintain composure and efficiency during critical system failures and high-pressure scenarios.

About the Role
We are looking for a forward-thinking AI Test Automation Engineer to help transform our QA processes from manual and reactive into predictive and highly efficient continuous testing. You will build robust automation frameworks while integrating AI-driven tools to test both traditional applications and advanced AI systems
Key Responsibilities

• AI-Assisted Testing: Leverage AI tools for test case generation, test maintenance, self-healing scripts
• Automation Frameworks: Design, develop, and maintain scalable test automation frameworks for UI, API, and backend testing.
• AI Model Validation: Validate AI-powered features, ensuring output accuracy, hallucination detection, data validation, and model consistency.
• CI/CD Integration: Integrate automated test suites into CI/CD pipelines to enforce quality gates and enable continuous testing.
• Collaboration: Work closely with developers, product managers, to define quality metrics
• Defect Management: Identify, log, track, and resolve software bugs using agile tracking tools.

Qualifications‍

• Experience: 3+ years in software quality assurance, with a strong focus on automation.
• Programming Skills: Basic idea in scripting languages such as Python or Java. for automation scripts
• Automation Tools: Hands-on experience with modern frameworks/tools (e.g., Selenium, Playwright, REST Assured, or PyTest)
• AI & Machine Learning Exposure:
• Familiarity with AI-driven testing platforms (e.g., Mabl, Testim, Applitools, Testsigma).
• CI/CD & DevOps: Familiarity with version control (Git) and CI/CD tools (Jenkins, GitHub Actions, or Azure DevOps)

Description:
We are looking for a highly skilled computer programmer who is comfortable with both front and back end programming. Full stack developers are responsible for developing and designing front end web architecture, ensuring the responsiveness of applications, and working alongside graphic designers for web design features, among other duties. The latter requires a comprehensive understanding of various front-end technologies, the core being HTML, CSS, and JavaScript. It is also beneficial for the engineer to be familiar with various frameworks and libraries, but the specific ones are down to personal preference
Responsibilities:
• Work with development teams and product managers to ideate software solutions
• Design client-side and server-side architecture
• “Pixel-perfect” implementation of our approved user interface.
• Develop and manage well-functioning databases and applications
• Ensuring cross-platform optimization for mobile phones.
• Ensuring responsiveness of applications.
• Ability to write effective Rest APIs
• Test software to ensure responsiveness and efficiency
• Troubleshoot, debug and upgrade software
• Implementing effective security protocols, data protection measures, and storage solutions
• Build features and applications with a mobile & web responsive design
• Documenting technical processes, including database schemas, frontend designs, as well as preparing reports.
• Recommending and implementing improvements to processes and technologies
• Keeping informed of advancements in the field of software development
Requirements:
• 5+ years of experience
• Candidates must have prior experience with SaaS-based products or platforms
• Bachelor’s Degree in Computer Science, Computer Engineering or related field.
• Strong organizational and project management skills.
• Proficiency with fundamental frontend frameworks such as Angular/React, HTML, CSS, Bootstrap, RxJs and JavaScript.
• Proficiency with fundamental backend such as Nodejs, Nestjs
• Familiarity with database technology such as MySQL, SQLServer ,Postgresql and MongoDB.
• Familiarity with third party libraries.
• Development experience for both mobile and desktop screens with responsive design.
• Excellent verbal communication skills.
• Good problem-solving skills.

About the Role

We are looking for an AI Data Engineer to design, build, and operate large-scale data ingestion and enrichment pipelines.  

This is a hands-on technical role focused on:

• Large-scale web data extraction and normalization
• Development, Monitoring data pipelines,  
• Anvestigating data issues, and fixing web data extraction logic at the source and
• Apply Generative AI techniques to improve text quality, structure, deduplication, and enrichment before data is consumed by ML models

The ideal candidate  debugging, reverse-engineering websites, and working deeply with HTML, JSON, and web scraping logic using AI based Techniques

Key Responsibilities:

• Develop ETL and data parsing pipelines to ensure data quality and availability
• Act as first-level responder for data quality alerts and failed jobs
• Investigate data anomalies by comparing system data with live websites
• Perform root cause analysis to identify parsing issues, site changes, or source data errors
• Implement monitoring, logging, and validation checks across pipelines
• Data Extraction & Fixes
• Develop, modify, and debug web data extraction logic
• Write and maintain parsing rules using CSS Selectors, Regex, and JQ
• Parse complex and nested HTML and JSON structures
• Optimize extraction logic for performance and scalability
• Implement fallback and validation strategies to ensure data reliability
• Development & Expansion
• Handle ad-hoc requests for adding new data fields
• Onboard large portals in building extraction logic from scratch

Required Skills (Must-Have):

• Strong experience in AI based Web Scraping / Data Extraction / Data Parsing
• Hands-on experience with HTML and JSON
• Strong knowledge of CSS Selectors and Regular Expressions (Regex)
• Experience using JQ / JSON Query / Jackson JQ
• Experience with ETL pipelines and data quality monitoring
• Ability to debug production data issues and perform root cause analysis
• Good to Have Python for web scraping or data handling
• XPath, REST APIs

Good to Have:

• Experience applying LLMs / GenAI for text processing or enrichment
• Familiarity with multilingual text handling and normalization
• Experience with REST APIs and asynchronous data ingestion

About the Role

We are looking for a motivated and results-driven Sales Development Representative (SDR). As an SDR, she/he will identify and qualify new business opportunities, build a strong sales pipeline, and act as the first point of contact for potential customers.

‍‍

Key Responsibilities ‍

• Generate and qualify leads through outbound prospecting (calls, emails, LinkedIn, etc.)
• Conduct discovery conversations to understand customer needs and pain points
• Schedule meetings and demos for Sales Team
• Maintain accurate records of all sales activities in CRM systems
• Collaborate with marketing and sales teams to optimize lead generation strategies
• Follow up with inbound leads in a timely and professional manner
• Meet and exceed monthly/quarterly quotas for qualified opportunities
• Stay up to date with product knowledge and industry trends

‍

Requirements

• 2-5 years of experience in sales, business development, or customer-facing roles
• Strong communication and interpersonal skills
• Ability to handle rejection and remain persistent
• Highly organized with strong time management skills
• Self-motivated with a results-oriented mindset
• Familiarity with CRM tools (e.g., Salesforce, HubSpot) is a plus
  

Preferred Qualifications

• Experience in SaaS or tech sales
• Proven track record of achieving or exceeding targets
• Experience with cold outreach and prospecting tools
  

Key Skills

• Prospecting & Lead Generation
• Communication & Active Listening
• Negotiation & Persuasion
• Time Management
• CRM & Sales Tools

Success Metrics

• Number of qualified leads generated
• Meetings/demos booked
• Conversion rates from lead to opportunity
• Pipeline contribution

‍

Description:

We are looking for a highly skilled computer programmer who is comfortable with both front and back end programming. Full stack developers are responsible for developing and designing front end web architecture, ensuring the responsiveness of applications, and working alongside graphic designers for web design features, among other duties. The latter requires a comprehensive understanding of various front-end technologies, the core being HTML, CSS, and JavaScript. It is also beneficial for the engineer to be familiar with various frameworks and libraries, but the specific ones are down to personal preference

Key Responsibilities

• Work with development teams and product managers to ideate software solutions
• Design client-side and server-side architecture
• “Pixel-perfect” implementation of our approved user interface.
• Develop and manage well-functioning databases and applications
• Ensuring cross-platform optimization for mobile phones.
• Ensuring responsiveness of applications.
• Ability to write effective Rest APIs
• Test software to ensure responsiveness and efficiency
• Troubleshoot, debug and upgrade software
• Implementing effective security protocols, data protection measures, and storage solutions
• Build features and applications with a mobile & web responsive design
• Documenting technical processes, including database schemas, frontend designs, as well as preparing reports.
• Recommending and implementing improvements to processes and technologies
• Keeping informed of advancements in the field of software development

Requirements:

• 5-6 years of experience
• Bachelor’s Degree in Computer Science, Computer Engineering or related field.
• Strong organizational and project management skills.
• Proficiency with fundamental frontend frameworks such as Angular, React, HTML, CSS, Bootstrap, RxJs and JavaScript.
• Proficiency with fundamental backend such as Nodejs, Nestjs
• Familiarity with database technology such as MySQL, SQLServer ,Postgresql and MongoDB.
• Familiarity with third party libraries.
• Development experience for both mobile and desktop screens with responsive design.
• Excellent verbal communication skills.
• Good problem-solving skills.
• Ability to visualize a proposed system and be able to build it
• Attention to detail, especially in identifying and fixing errors
• Ability to use Asynchronous Programming to improve productivity
• Develop and unit test software for new product features
• Develop and document software designs

Job Responsibility

• We are looking for a data scientist who will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver AI/ML based Enterprise Software Products.
• Develop solutions related to machine learning, natural language processing and deep learning & Generative AI to address business needs.
• Your primary focus will be in applying Language/Vision techniques, developing llm based applications and building high quality prediction systems.
• Analyze Data: Collaborate with cross-functional teams to understand data requirements and identify relevant data sources. Analyze and preprocess data to extract valuable insights and ensure data quality.
• Evaluation and Optimization: Evaluate model performance using appropriate metrics and iterate on solutions to enhance performance and accuracy. Continuously optimize algorithms and models to adapt to evolving business requirements.
• Documentation and Reporting: Document methodologies, findings, and outcomes in clear and concise reports. Communicate results effectively to technical and non-technical stakeholders.

‍

Work experience background required

• Experience building software from the ground up in a corporate or startup environment.

‍

Essential skillsets required:

• 5-15 years experience in software development
• Educational Background: Strong computer science and Math/Statistics
• Experience with Open Source LLM and Langchain Framework and designing efficient prompt for LLMs.
• Proven ability with NLP and text-based extraction techniques.
• Experience in Generative AI technologies, such as diffusion and/or language models.
• Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
• Familiarity with cloud computing platforms such as GCP or AWS. Experience to deploy and monitor model in cloud environment.
• Experience with common data science toolkits, such as NumPy, Pandas etc
• Proficiency in using query languages such as SQL
• Good applied statistics skills, such as distributions, statistical testing, regression, etc.
• Experience working with large data sets along with data modeling, language development, and database technologies
• Knowledge in Machine Learning and Deep Learning frameworks (e.g., TensorFlow, Keras, Scikit-Learn, CNTK, or PyTorch), NLP, Recommender systems, personalization, Segmentation, microservices architecture and API development.
• Ability to adapt to a fast-paced, dynamic work environment and learn new technologies quickly.
• Excellent verbal and written communication skills