About the Role

A detail-oriented and strategic Business Support Executive to join our Southeast Asia Sales team. This role will play a key part in supporting the South East Asia end-to-end sales cycle — from pre-sales planning to post-sales reporting — by providing data-driven insights, process optimization, and operational support. You will act as the link between the sales team and cross-functional departments such as Finance, Compliance, and Product.

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Key Responsibilities

‍Sales Support & Analysis

• Assist in preparing sales proposals and service agreements with accurate data.
• Coordinate with marketing team on sales support activities such as event preparation, marketing collaterals
• Coordinate with product team to ensure new product and feature releases are incorporated into sales materials
• Upkeep contacts, leads and deal details in CRM tool (Hubspot)

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Operational Enablement

• Maintain and enhance sales presentation, templates, and process flows in consultation with the sales team.
• Manage inbound sales inquiries. Track meeting outcomes and ensure timely responses to prospect inquiries
• Coordinate with Finance, Compliance and Legal to ensure all commercial approvals are in place.
• Work with finance on billing, and follow-up on payments

Performance & Reporting

• Generate regular dashboards and reports for sales performance.
• Track the execution of key deals and flag bottlenecks or delays.
• Support regular business reviews and other strategic planning cycles.

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Cross-functional Collaboration

• Work closely with sales, product, compliance, and operations teams to support client onboarding and post-sale activities.
• Participate in sales strategy meetings and contribute to business process improvements.

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Qualifications

• Bachelor’s degree in Business Administration, Marketing, or related field.
• Proven 3-5 years experience in sales support, business analysis, or a similar role.
• Proficiency with CRM systems (e.g. HubSpot).
• Strong written and verbal communication skills.
• Strong collaboration skills with internal and external stakeholders.
• Excellent organizational and multitasking abilities.
• High attention to detail and accuracy.
• Proficient in Microsoft Office Suite (Word, Excel, PowerPoint).

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Intern AI/ Data analyst/ Data scientist- JD

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An AI Engineer Intern supports the development and implementation of AI models and systems, often working with experienced AI engineers and data scientists. Responsibilities include assisting in building, training, and fine-tuning AI models, developing and testing AI pipelines, integrating AI into applications, and maintaining data quality. Interns also participate in model evaluation, performance monitoring, and documentation.

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Responsibilities

Core Responsibilities of Intern AI/ Data analyst/ Data scientist

• Collect, clean, and analyze data from diverse sources, including public and adverse media, to support risk and compliance related activities.
• Assist in identifying, aggregating, and maintaining global data sources for screening purposes.
• Conduct name screening against adverse media and other public datasets, and support the classification of results into categories such as financial crime, regulatory action, and reputational risk.
• Assist in building and testing AI/ML models for compliance applications.
• Create dashboards and reports to track KPIs, customer trends, and financial performance.
• Use tools like Python, SQL, and Excel to manipulate data and generate insights.
• Collaborate with product, engineering, and data science teams to support data-driven decisions.
• Document data processes, analysis workflows, and model performance metrics.
• Explore and experiment with emerging AI technologies.

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Requirements

• 1+ year of experience analyzing , processing, and managing datasets to improve the quality of AI training models
• Proficient in Python (PyTorch, pandas, scikit-learn), SQL, MATLAB, and LaTeX; experienced in R, Java, and OpenAI Gym.
• Experience in applied mathematics, including numerical methods, PDEs, and statistical modeling, gained through coursework and projects.
• Experience in applying machine learning, reinforcement learning, and deep learning to solve real-world problems. Developed stock trading models using Python, OpenAI Gym, and natural language processing

Qualification

• Any Bachelors Degree
• Internship/Training Experience in AIML/Data Science from a Software Learning Institution
• Strong Inter personal communication skill
• Strong Technical knowledge
• Fintech experience is an additional advantage

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Job Description
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As a MERN Stack Developer (Fresher), you’ll be part of a dynamic team responsible for building and maintaining web-based fintech applications. This is a great opportunity to grow your full-stack development skills and learn how to build real-world financial platforms.

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Key Responsibilities

• Develop scalable front-end interfaces using React.js
• Build backend services and APIs using Node.js and Nest.js
• Design and interact with MongoDB databases
• Collaborate with UI/UX designers and backend engineers to deliver high-quality products
• Write clean, efficient, and maintainable code
• Debug and resolve technical issues
• Participate in code reviews and team meetings
• Stay up-to-date with fintech trends and new technologies
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Required Skills:

• Solid understanding of JavaScript (ES6+)
• Familiarity with the MERN Stack:
  
  • MongoDB and Mysql
  • Nest.js
  • React.js
  • Node.js
    

• Knowledge of RESTful APIs
• Basic understanding of HTML5, CSS3, and responsive design
• Version control with Git
• Problem-solving mindset and willingness to learn
• Good communication and collaboration skills

Preferred (Nice-to-Have)

• Internship or academic project using MERN Stack
• Exposure to Fintech applications or interest in financial technologies
• Basic understanding of authentication, authorization, and data security
• Familiarity with tools like Postman, Docker, or CI/CD pipelines

Job Description

We are looking for a passionate and skilled MEAN Stack Developer (Fresher) to join our technology team. You will work alongside experienced engineers to design, develop, and maintain scalable fintech applications using the MEAN (MongoDB, Nest js, Angular, Node.js, MySQL DB) stack.

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Key Responsibilities

• Collaborate with cross-functional teams to define, design, and ship new features
• Develop and maintain responsive web applications using Angular
• Build RESTful APIs using Node.js and Nest js
• Integrate backend services with MySQL DB, MongoDB and third-party APIs
• Assist in bug fixing and improving application performance
• Stay up-to-date with the latest web technologies and trends in fintech

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Required Skills:

• Basic understanding of MEAN Stack technologies:
  
  • MongoDB
  • MySQL DB
  • Nest js
  • Angular (preferably Angular 10+)
  • Node.js
• Familiarity with JavaScript, HTML5, CSS3
• Knowledge of RESTful APIs and HTTP protocols
• Understanding of Git and version control systems
• Strong problem-solving and debugging skills
• Good communication and teamwork abilities

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Preferred (Nice-to-Have)

• Internship or project experience in web development
• Exposure to Fintech applications or understanding of financial concepts
• Familiarity with Agile methodologies and DevOps practices
• Basic understanding of security practices in web applications

Job Description

A MEAN Solution Architect is a technical professional who designs and oversees the implementation of complex web applications using the MEAN technology stack (MongoDB, Express.js,Nest js, Angular, and Node.js), acting as a bridge between business requirements and technical solutions by crafting scalable, secure, and efficient architectures tailored to specific project needs, while collaborating closely with development teams throughout the project lifecycle.

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Responsibilities

• Requirements Gathering and Analysis:
  ‍Understand business needs, translate them into technical specifications, and identify appropriate MEAN components to address those needs.
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• Architecture Design:
  ‍Create detailed technical architectures for MEAN applications, including database schema design (MySQL,MongoDB), API endpoints (Nest.js), frontend structure (Angular), and system integration patterns.
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• ‍Technology Selection:
  ‍Evaluate and recommend suitable libraries, frameworks, and tools within the MEAN stack to optimize performance and scalability.
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• Proof-of-Concept Development:
  ‍Build prototypes to demonstrate the feasibility of proposed solutions and validate technical approaches.
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• Development Guidance:
  ‍Provide technical leadership to development teams, ensuring adherence to architectural guidelines and best practices.
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• Performance Optimization:
  ‍Analyze application performance, identify bottlenecks, and implement optimizations to ensure scalability and responsiveness.
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• Security Architecture:
  ‍Design robust security measures to protect sensitive data, including authentication, authorization, and data encryption.
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• Collaboration with Stakeholders:
  ‍Effectively communicate technical concepts to non-technical stakeholders, gathering feedback and managing expectations.

• Cloud Integration:
  ‍Design solutions that leverage cloud platforms like AWS or GCP for deployment and scaling.

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Required Skills

• Proficient in MEAN Stack:
  ‍Deep understanding of MySQL, MongoDB, Nest js, Angular , and Node.js, including their core concepts and best practices.
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• Frontend Development:
  ‍Expertise in JavaScript, HTML, CSS, and modern frontend frameworks like Angular or React.
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• Backend Development:
  ‍Experience with RESTful API design, data modeling, and asynchronous programming concepts.
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• System Architecture:
  ‍Ability to design scalable, distributed systems considering performance, reliability, and maintainability.
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• Cloud Computing:
  ‍Familiarity with cloud platforms and their services for deployment and management.

• Communication Skills:
  ‍Excellent written and verbal communication skills to effectively collaborate with cross-functional teams.

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Key Differentiators

• Experience with Microservices Architecture:
  ‍Understanding how to design and implement microservices using the MEAN stack for modularity and scalability.
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• DevOps Practices:
  ‍Knowledge of CI/CD pipelines, containerization technologies (Docker), and infrastructure automation.
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• Security Expertise:
  ‍Deep understanding of security best practices for web applications, including OWASP guidelines.

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Job Description

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We are looking for a Node.js Developer responsible for managing the interchange of data between the server and the users. Your primary focus will be the development of all server-side logic, definition and maintenance of the central database, and ensuring high performance and responsiveness to requests from the front-end.

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You will also be responsible for integrating the front-end elements built by your co-workers into the application.Therefore, a basic understanding of front-end technologies is necessary as well.

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Responsibilities

• Developing and maintaining all server-side network components
• Ensuring optimal performance of the central database and responsiveness to front-end requests
• Collaborating with front-end developers on the integration of elements
• Designing customer-facing UI and back-end services for various business processes
• Developing high-performance applications by writing testable, reusable, and efficient code
• Implementing effective security protocols, data protection measures, and storage solutions
• Running diagnostic tests, repairing defects, and providing technical support
• Documenting Node.js processes, including database schemas, as well as preparing reports
• Recommending and implementing improvements to processes and technologies

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Requirements

• At least Four years experience as a Node.js developer
• Strong proficiency in following frameworks: ExpressJs, Nodejs, NestJs
• Extensive knowledge of JavaScript, Typescript, tech stacks, libraries, and frameworks.
• Extensive knowledge in database and its complicated queries (MySQL, SQL Server)
• Experience in developing applications using Firebase
• Experience in creating REST API
• Knowledge of front-end technologies such as Angular, React, HTML5 and CSS3.
• Knowledge in cloud platforms (AWS, Azure)
• Knowledge in Server deployments
• 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

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‍Job Description: (Angular Front end Developer)

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We are looking for a skilled and experienced Angular Frontend Developer to join our growing team. As a Frontend Developer, you will be responsible for designing, developing, and maintaining web applications using Angular framework. You will work closely with our backend developers, UX/UI designers, and other stakeholders to deliver engaging and user-friendly software solutions that meet our business needs.

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Responsibilities

• Develop responsive web applications using Angular framework and related technologies.
• Collaborate with UX/UI designers to implement user interfaces that are intuitive, visually appealing, and accessible.
• Integrate frontend components with backend services using RESTful APIs or other communication protocols.
• Implement state management solutions such as NgRx or RxJS to manage application state efficiently.
• Write clean, maintainable, and reusable code following best practices and coding standards.
• Optimize application performance by identifying and addressing frontend performance bottlenecks.
• Conduct code reviews to ensure code quality, maintainability, and adherence to coding standards.
• Write unit tests and end-to-end tests to ensure the reliability and functionality of the frontend codebase.
• Collaborate with backend developers to define API contracts and ensure seamless integration between frontend and backend systems.
• Stay up-to-date with the latest trends and best practices in frontend development and contribute to continuously improving our development processes. ‍

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Skills/Qualification/Experience requirement

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Angular 2-3 years of experience. Ability to develop web interfaces with Angular & CSS framework.

Should be aware of responsive framework like Bootstrap.

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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.

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Work experience background required

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

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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

Job description

As an AI and Machine Learning Engineer, you will be responsible for developing advanced generative AI models, fine-tuning pre-trained models, and working on data preprocessing. Collaboration with cross-functional teams is key, and expertise in graph neural networks is required. Experimentation with model architectures, adherence to ML engineering best practices, and utilization of tools like Model Garden and AWS SageMaker are essential. Staying current with AI research is vital for ongoing technology improvement and innovation.

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‍Key Responsibilities

• Design, develop, and deploy advanced generative AI models using techniques such as BERT, Transformers architecture, and other deep learning methodologies.
• Utilize pre-trained models from libraries like Hugging Face to fine-tune and adapt models for specific tasks and domains.
• Work on data preprocessing, feature extraction, and engineering to prepare datasets for training and testing.
• Collaborate with cross-functional teams, including data scientists, software engineers, and domain experts, to define project goals and requirements.
• Apply expertise in graph neural networks to develop, optimize, and implement graph-based models such as Variational Graph Autoencoders (VGAE).
• Experiment with various model architectures, hyperparameters, and techniques to improve model performance and achieve desired outcomes.
• Apply best practices in machine learning engineering, including model versioning, testing, and documentation.
• Utilize tools such as Model Garden and AWS SageMaker for model development and deployment.
• Stay up to date with the latest advancements in AI and machine learning research to continuously improve our technology stack.

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Key Requirements

• Bachelors or masters degree in computer science, Engineering, or related field.
• 5-15 years of experience as a Machine Learning Engineer, with a focus on generative AI models and graph neural networks.
• Proficiency in working with deep learning frameworks such as TensorFlow or PyTorch.
• Strong experience with generative models such as BERT, GPT, and Transformers, and familiarity with Hugging Face models.
• Prior experience in deploying machine learning models using tools like Model Garden, AWS SageMaker, or similar.
• Hands-on experience with graph neural network models such as GraphSAGE, VGAE, or other relevant architectures.
• Solid understanding of machine learning principles, algorithms, and methodologies.
• Proficiency in programming languages such as Python, and experience with libraries like NumPy, Pandas, etc.
• Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.
• Excellent communication skills and ability to explain complex concepts to non-technical stakeholders.

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Preferred Qualification

• Publications, research, or contributions to the machine learning community.
• Familiarity with natural language processing (NLP) techniques and applications.
• Experience with distributed computing and model parallelism.
• Experience in the SaaS, inside sales, restaurant, hospitality, and food service industry.
• Knowledge of restaurant operations is always a plus but not necessary.
• Start-up experience (we love entrepreneurs!).
• Experience in working virtually and with a virtual team.

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