Sr. Data Scientist – GenAI & Agentic Systems
Tasks
- Align solutions with approved architecture and datasets
- Collaborate with data engineering for data readiness and integration
- Define evaluation frameworks for accuracy and hallucination control
- Design and implement LLM powered pipelines
- Enforce data and logic governance standards
- Ensure traceability logs and reproducibility
- Establish observability for agent workflows
- Implement rag pipelines
- Lead agentic GenAI solution delivery
- Lead pilots and production rollout handover
- Mentor data scientists and ensure code quality
- Orchestrate tools and prompts for LLM agents
- Partner on agentic system design and governance
- Translate business workflows into agent driven analytical solutions
- Triage model behavior data quality and workflow issues
Perks/Benefits
- N/A
Skills/Tech-stack
Agent systems | Data Governance | Data Modeling | Evaluation | LLM orchestration | Language Models | Language Processing | Large Language Models | Machine Learning | Multi-Agent | Multi-Agent Systems | Natural Language | Natural Language Processing | Observability | Prompt engineering | Python | Responsible AI | Retrieval-Augmented Generation | SQL | Tool integration | Vector Databases
Education
N/A
Roles
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