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Senior Data Scientist – AI/ML & Generative AI at Zensar Technologies · Hyriko
via Career pages · 1w ago
Senior Data Scientist – AI/ML & Generative AI Zensar Technologies
Full-time On-site
Location: Pune, Maharashtra, India Type: Full-time Posted: 1w ago
We are seeking a Senior Data Scientist to lead AI-driven initiatives delivering machine learning and Generative AI solutions within Capital Markets. This role focuses on building scalable models and applications for forecasting, anomaly/fraud detection, and LLM-based solutions (including RAG and agentic AI) on modern cloud platforms.
Key Responsibilities Design, develop, and deploy machine learning models for forecasting, classification, and anomaly/fraud detection Architect and implement Generative AI solutions, including RAG pipelines, prompt engineering, embeddings, and vector databases Build scalable AI applications leveraging LLM APIs, orchestration frameworks, and agent-based systems Develop modular, production-ready Python applications following robust software engineering practices (SOLID principles) Deploy, monitor, and optimise models using MLOps practices on platforms such as Azure, AWS, and Databricks Analyse large, complex datasets to derive actionable business insights Collaborate with cross-functional teams and effectively communicate outcomes to technical and business stakeholders Key Skills Strong expertise in machine learning, statistical modelling, and data science techniques Hands-on experience with Generative AI, including LLMs, RAG, prompt engineering, and vector databases Practical experience with AI/LLM frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar
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Solid understanding of anomaly detection techniques (e.g. Autoencoders, XGBoost, Isolation Forest) Proficiency in Python and SQL, with ability to develop complex, modular, and maintainable applications Strong understanding of software engineering principles, including SOLID design principles Experience with Databricks and cloud platforms (Azure Preferred) Good understanding of Capital Markets domain and fraud detection use cases 6+ years of experience in Data Science, Machine Learning, or AI-related roles Bachelor’s degree required. Strong analytical thinking and problem-solving skills Clear and effective communication with both technical and non-technical stakeholders Delivery-focused with a pragmatic, cost-conscious mindset Ability to work independently and collaboratively in cross-functional teams
Key Skills Strong expertise in machine learning, statistical modelling, and data science techniques Hands-on experience with Generative AI, including LLMs, RAG, prompt engineering, and vector databases Practical experience with AI/LLM frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar Solid understanding of anomaly detection techniques (e.g. Autoencoders, XGBoost, Isolation Forest) Proficiency in Python and SQL, with ability to develop complex, modular, and maintainable applications Strong understanding of software engineering principles, including SOLID design principles Experience with Databricks and cloud platforms (Azure Preferred) Good understanding of Capital Markets domain and fraud detection use cases 6+ years of experience in Data Science, Machine Learning, or AI-related roles Bachelor’s degree required.
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