Expert Data Scientist (AI)
Tasks
- Build and deploy AI and ML solutions
- Coach business users and teammates
- Define AI use cases and experimental design
- Design evaluation frameworks and conformance checks
- Diagnose data quality and pipeline issues in production
- Document decisions learnings and incidents
- Implement security and resilience for AI systems
- Monitor AI output for silent errors
- Orchestrate AI agents and reusable workflows
- Secure approval by collaborating with IT and digital teams
- Translate business needs into technical specifications
Perks/Benefits
Skills/Tech-stack
Artificial Intelligence | Cloud Computing | Data Quality | Databricks | Evaluation | Function Calling | GenAI | Language Models | Large Language Models | MLOps | Machine Learning | Monitoring | Prompt engineering | Python | Retrieval-Augmented Generation | Snowflake | Tool-Calling | Workflow Orchestration
Education
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