VP, Head of Data Science
Tasks
- Automate deployment and evaluation in AWS
- Build RAG workflows
- Design build and review NLP and LLM solutions
- Design scalable AI workflows with embeddings and vector search
- Engineer prompt and skill design and evaluation
- Evaluate emerging AI models and agentic patterns
- Implement monitoring observability and provider routing
- Lead and develop data science team
- Manage delivery priorities and capacity
- Own data science architecture and technical design
- Partner with teams to deliver client workflows
- Productionize AI systems with MLOps and DevOps
- Translate roadmap into data science plan
Perks/Benefits
Skills/Tech-stack
AWS EC2 | AWS ECS | AWS S3 | Agentic Workflows | Context engineering | Cost Control | DevOps | Embeddings | Git | Human-in-the-loop | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model Evaluation | Monitoring | Natural Language | Natural Language Processing | Observability | PostgreSQL | Prompt engineering | Provider Routing | Python | RAG | Retrieval-Augmented Generation | SQL | The Loop | Vector Search
Education
N/A
Roles
Data Science | Data Science Technical Lead | Head | Head of Data | Head of Data Science | Lead | Technical Lead | VP | VP Data | VP, Data Science
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