Do the words "Startup", "Artificial Intelligence", "Machine Learning", "Generative AI", "Agentic AI" and "Business Strategy" send a tingle up your spine? Would you like to be at the forefront of building intelligent solutions that transform business decision-making? If so, read on…
Quant Matrix is an AI and analytics startup combining advanced AI/ML, business consulting and product innovation. We are looking for an AI and ML Engineer to join our core team and help build intelligent, scalable solutions for real-world business problems.
What can you expect as QMer?
You will work with a multidisciplinary team applying the best of AI, ML and Data Analytics to create innovative solutions and products that transform business decision-making.
You will have the opportunity to work on cutting-edge AI technologies, develop intelligent agents, build predictive models and contribute to Trinity, our proprietary AI and analytics platform.
We enjoy experimenting, solving challenging problems and turning exciting ideas into practical solutions. We work as a team, challenge each other, make bold commitments and deliver on them.
What are we looking for?
Role: Associate, AI and ML Engineer
Responsibilities
- Understand business problems and design AI/ML solutions
- Understand business objectives, data and analytical requirements.
- Identify opportunities to apply Machine Learning, Generative AI and Agentic AI.
- Evaluate alternative algorithms, architectures and solution approaches.
- Collaborate with Data Scientists, Product Engineers and Business Analysts to define solutions.
- Develop AI and Machine Learning solutions
- Build, train, evaluate and optimize ML models for regression, classification, forecasting and other analytical applications.
- Develop solutions using Large Language Models (LLMs), including prompting, structured outputs, Retrieval-Augmented Generation (RAG) and tool calling.
- Build AI agents capable of reasoning, planning, using tools and executing multistep workflows.
- Experiment with frameworks such as LangChain, LangGraph and other AI orchestration technologies.
- Evaluate models and agents for accuracy, reliability, efficiency and performance.
- Build scalable AI capabilities and products
- Convert AI/ML prototypes into robust, reusable and production-ready capabilities.
- Develop APIs, tools and integrations to embed AI capabilities into Trinity.
- Work with structured and unstructured data, vector databases and external data sources.
- Implement testing, monitoring, evaluation and continuous improvement of AI/ML solutions.
- Collaborate with Product and Engineering teams to ensure scalability, security and maintainability.
- Drive innovation and business impact
- Explore emerging AI technologies, models and frameworks.
- Rapidly prototype new ideas and assess their practical applications.
- Work with internal teams and clients to validate solutions and demonstrate business value.
- Contribute to building reusable AI/ML intellectual property and capabilities.
Qualifications, Experience and Skills
- B.Tech/B.E./M.Tech/MS in Computer Science, Artificial Intelligence, Machine Learning, Data Science or a related discipline.
- Minimum 2 years of relevant experience in AI/ML development, preferably with hands-on experience in Generative AI applications.
- Strong programming skills in Python, including experience with libraries such as Pandas, NumPy, Scikit-learn, PyTorch or TensorFlow.
- Practical experience in one or more of the following:
- Machine Learning models, including regression, classification, clustering and forecasting.
- LLM applications using OpenAI, Claude, Llama or similar models.
- RAG pipelines, embeddings and vector databases.
- Agentic AI frameworks such as LangChain, LangGraph or similar tools.
- API development, model deployment and cloud-based AI services.
- Understanding of software engineering fundamentals, Git, APIs and databases.
- Familiarity with AWS, Azure or other cloud environments is desirable.
- Strong analytical thinking, problem-solving ability and willingness to learn new technologies.
- Ability to work independently, collaborate across teams and translate experimental solutions into practical applications.
What we value
We value curiosity, initiative, strong technical fundamentals and an ability to solve problems without being constrained by conventional approaches. We are looking for someone who enjoys both the science of AI and the engineering challenge of making it work reliably in real-world applications.
Pay: ₹541,000.00 - ₹1,880,000.00 per year
Work Location: In person
