Senior Analyst - Data Science

Designation: Senior Analyst - Data Engineering Experience: 5 to 7 Years Location: Remote-tn, Tamil Nadu , India (REM_TN)

Job Description: AI Engineer-Analyst Architect and build multi-agent AI systems that automate complex operational decisions Design intelligent recommendation engines that model downstream consequences of operational changes and suggest optimal courses of action Build and deploy LLM-powered assistants for internal teams and customer-facing use cases, grounded in Databricks' own technology stack Implement RAG pipelines, tool-use agents, and agentic workflows using frameworks such as LangChain, LangGraph, AutoGen, or equivalent Build signal-driven pipelines that identify patterns in historical data and surface proactive recommendations to operations and sales teams Construct Next Best Action engines that help the team engage at-risk accounts before issues escalate

Ensure AI interactions are accurate, explainable, and appropriately grounded in structured enterprise data

Key Responsibilities: Model Development: Ability to turn ambiguous business problems into structured analytical frameworks with measurable outcomes Designing, building, and training machine learning (ML) models and algorithms (supervised, unsupervised, reinforcement learning). Data Engineering: Collecting, analyzing, preprocessing, and transforming large, unstructured datasets for training. Experience with data modeling and building unified data layers across heterogeneous sources System Deployment (MLOps): Transitioning models from research to production, creating APIs, and integrating AI into existing software infrastructures. Optimization & Monitoring: Enhancing model performance, latency, and accuracy; monitoring for data drift. Collaboration: Ability to work closely with stakeholders and translate operational pain points into AI-ready problem statements