Senior Principal Data Scientist - GenAI.ML / AgenticAI
Tasks
- Architect and implement LLM-powered applications
- Build retrieval-augmented generation pipelines
- Communicate technical concepts and recommendations to stakeholders
- Conduct model fine-tuning and evaluation
- Define model quality performance monitoring and lifecycle standards
- Deploy secure reliable production AI systems
- Design agentic workflows with tools memory and business logic
- Design and deploy generative AI and agentic AI systems
- Ensure governance explainability robustness and responsible AI use
- Lead end to end AI initiatives across teams
- Mentor data scientists on ML and GenAI best practices
- Perform prompt engineering
- Prototype and validate new AI capabilities
- Translate advances in LLMs and agent frameworks into practical solutions
Perks/Benefits
Skills/Tech-stack
Agent systems | Agentic AI | Agile | Azure | CI/CD | Cloud Computing | Cloud platform | Evaluation | Fine Tuning | Generative AI | Git | Google Cloud | Google Cloud Platform | LLMOps | Language Models | Large Language Models | MLOps | Machine Learning | Multi-Agent | Multi-Agent Systems | Optimization | Prompt engineering | PySpark | Python | Retrieval-Augmented Generation | SQL | Statistical modeling
Education
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