Head of AI and Data Platform
United States - Alameda : 2901 Harbor Bay Parkway, United States
USD 172K-344K Senior-level Full Time
Tasks
- Automate retraining pipelines
- Build MLOps infrastructure
- Build RAG pipelines
- Build real time and batch processing infrastructure
- Define AI data platform architecture
- Define engineering OKRs KPIs delivery metrics
- Deploy ML models to production
- Design Data Lake
- Develop model serving layers
- Ensure regulatory alignment with HIPAA GDPR FDA guidance
- Establish evaluation and observability frameworks
- Implement Feature Stores
- Implement experiment tracking
- Integrate LLMs into production systems
- Manage model registry
- Monitor production model drift
- Own data ingestion pipelines
- Partner with Data Science and Product teams
- Run A B testing frameworks
- Set responsible AI guardrails
- Standardize tools and data engineering practices across squads
- Translate research requirements into production systems
Perks/Benefits
- Education benefit
- Health Investment Plan PPO Medical Coverage
- Retirement savings plan
- Student debt program
- Tuition reimbursement
Skills/Tech-stack
A/B | A/B Testing | AWS | Automated retraining | Azure | B testing | Cloud Computing | Cloud platform | Cost Optimization | Data Engineering | Data Lakes | Data Modeling | Data Pipelines | Distributed Systems | Event Driven | Event-driven architecture | Experiment tracking | FDA Software Guidance | Feature Stores | GDPR | Google Cloud | Google Cloud Platform | HIPAA | LLM integration | Latency optimization | MLOps | Machine Learning | Model Evaluation | Model Monitoring | Model Registry | Model Serving | Observability | Prompt engineering | Retrieval-Augmented Generation | Software guidance | Streaming Data | Streaming data pipelines
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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