Head of AI and Data Platform
United States - Alameda : 2901 Harbor Bay Parkway, United States
USD 172K-344K Executive-level Full Time
Tasks
- Automate retraining pipelines
- Build MLOps experiment tracking and model registry
- Build biosensor data ingestion pipelines
- Create RAG pipeline architecture
- Define AI and data platform architecture
- Define engineering OKRs KPIs and delivery metrics
- Deploy model serving layers
- Design data lake architecture
- Develop real time and batch processing infrastructure
- Ensure FDA software guidance compliance
- Ensure HIPAA GDPR compliance
- Establish model evaluation and observability
- Implement Feature Stores
- Implement production model monitoring
- Integrate LLMs into production systems
- Lead AI and data platform engineering execution
- Optimize latency and cost for AI systems
- Run A B testing frameworks
- Standardize development and data engineering practices across squads
- Translate research into production AI systems
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | Amazon Web Services | Automated retraining | Azure | B testing | Cloud platform | Cost Optimization | Data Lake | Data Modeling | Data Observability | Data pipeline | Deep learning | Device Machine Learning | Distributed Systems | Docker | Event Driven | Event-driven architecture | Experiment tracking | Feature Store | GDPR | Google Cloud | Google Cloud Platform | HIPAA | Kubernetes | Language Models | Language Processing | Large Language Models | Latency optimization | MLOps | Machine Learning | Model Evaluation | Model Monitoring | Model Registry | Natural Language | Natural Language Processing | On-device Machine Learning | Prompt engineering | RAG | Retrieval-Augmented Generation | Streaming Data | Web Services
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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