Principal AL/ML Data Scientist - AI, Vector Search & Agentic AI Platforms
Tasks
- Architect enterprise AI data platforms
- Build and maintain vector databases pipelines
- Develop embedding pipelines and retrieval systems
- Enable explainability and evaluation of AI outputs
- Establish data quality lineage and source attribution controls
- Evaluate emerging vector database and retrieval technologies
- Implement Retrieval-Augmented Generation (RAG) systems
- Implement monitoring observability and alerting
- Implement prompt and context traceability
- Integrate AI requirements into production capabilities
- Lead architectural decisions for performance scalability security reliability
- Mentor engineers and promote engineering best practices
Perks/Benefits
- 401k match
- Generous PTO
- Paid federal holidays
- Paid healthcare
- Profit sharing
- Referral bonuses
- Tuition assistance
- Tuition reimbursement
Skills/Tech-stack
AWS | Azure | CI/CD | Cloud Native | Cloud Native Architecture | Distributed Systems | Embeddings | Generative AI | Google Cloud | Infrastructure automation | MLOps | Machine Learning | Observability | Orchestration | Python | Retrieval-Augmented Generation | SQL | Semantic Search | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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