AI / ML Engineer

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.

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.

Requirements:

• 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.