Data Science Engineer

Your key responsibilities

• Apply machine learning techniques to deliver actionable insights
• Own end-to-end model development in Python, including data exploration, feature engineering, training, validation, and scoring on structured and unstructured data
• Design and build systems that mine massive datasets and structure/ engineer it to be usable for machine learning models and to apply AI/Machine Learning technology to solve real-world problems
• Apply standard statistical methods, simulation models and statistical programming as needed
• Collaborate closely with business users and analysts to translate requirements into AI/ML solutions and present outcomes clearly
• Manage stakeholders and mentor team members in Machine Learning, AI, and best practices
• Design and implement Generative AIenabled solutions such as AI agents, APIs, and intelligent interfaces, integrating with enterprise GenAI platforms (Azure OpenAI / Azure AI Foundry)
• Hands-on experience in LLM fine tuning and optimization, including parameter efficient tuning techniques and systematic evaluation of model quality, latency, and cost in production environments
• Strong expertise in production grade prompt and GenAI system design, including prompt templating, chaining, RAG pipelines, guardrails, and reliability patterns for scalable enterprise deployments

Skills and attributes for success

• An overall experience of 5 + years of which 3+ years of hands-on work experience in Machine Learning and Artificial Intelligence
• Strong hands-on experience with ML/AI techniques including regression, decision trees, random forests, classification, clustering, NLP/NLG, deep learning, neural networks, and ARIMA
• Proven experience delivering end-to-end ML projects from development to production
• Expert proficiency in Python, with strong programming, algorithmic, and database skills
• Strong understanding of Generative AI and LLM technologies, including prompt engineering and enterprise LLM integration

To qualify for the role, you must have

• Master’s degree in Statistics/Mathematics from a reputed college OR Bachelors / Master’s degree in Science/ Engineering / MCA.
• Hands-on involvement across the design, development, testing, and deployment of AI/ML solutions
• Tax application experience