Senior Principal Data Scientist - GenAI.ML / AgenticAI
Tasks
- Apply prompt engineering
- Architect and implement LLM-powered applications
- Build Retrieval Augmented Generation systems
- Communicate technical concepts and tradeoffs to stakeholders
- Create evaluation frameworks for LLMs
- Define model quality performance monitoring and lifecycle standards
- Design agentic workflows with tools and memory
- Design develop and deploy generative ai and agentic ai systems
- Ensure ai governance explainability robustness and responsible ai use
- Mentor data scientists and promote ML and software engineering best practices
- Partner with engineering to deliver production AI systems
- Perform model fine-tuning
- Prototype and validate new AI capabilities
Perks/Benefits
Skills/Tech-stack
Agent systems | Agentic AI | Agile | Azure | CI/CD | Cloud Platforms | Cloud platform | Fine Tuning | Generative AI | Git | Google Cloud | Google Cloud Platform | LLMOps | Language Models | Large Language Models | MLOps | Machine Learning | Model Evaluation | Multi-Agent | Multi-Agent Systems | Prompt engineering | PySpark | Python | Retrieval-Augmented Generation | SQL
Education
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