You are a strategic thinker passionate about driving solutions in “Applied AI & Machine Learning”. You have found the right team.
As “Applied AI & Machine Learning Skilled” within our “Asset Management Data Science Team ” , you will be responsible for setting and improving our organizational objectives, and ensuring their consistent accomplishment.
Job Responsibilities
• Design and implement scalable architecture for LLM-powered investment tools, including reusable patterns for integration, governance, observability, and access control
• Build and scale AI applications and automated workflows using models, retrieval, and tools with orchestration for state management, retries, checkpointing, deterministic controls, and appropriate human oversight
• Develop context-management and retrieval-augmented generation (RAG) capabilities, including ingestion, chunking, metadata, embeddings, hybrid search, reranking, and grounded outputs
• Create reliable data and knowledge pipelines that transform structured and unstructured enterprise content into governed,



high-quality inputs for AI applications
• Establish engineering standards for reusable tools and model integrations, including interfaces, permissions, testing, failure handling, and documentation
• Implement evaluation and end-to-end observability for AI systems, including structured logging and tracing across model calls, retrieval steps, and tool execution
• Optimize AI systems for quality, task completion, latency, token usage, cost, reliability, and business impact
• Partner with portfolio managers and research teams to understand investment processes and translate them into practical solutions within the firm’s ecosystem

Required qualifications, capabilities and skills
• Earn a Master’s degree or PhD in computer science, statistics, mathematics, engineering, econometrics, or another quantitative field
• Apply a strong foundation in statistics, probability, experimental design, and machine learning to select app

📌 Data Scientist (Mumbai)
🏢 JPMorgan Chase
📍 Mumbai