Head of AI and Data Platform
United States - Alameda : 2901 Harbor Bay Parkway, United States
USD 172K-344K Executive-level Full Time
Tasks
- Apply prompt engineering practices
- Automate retraining and model monitoring
- Build RAG pipelines
- Build feature stores
- Create A/B testing frameworks
- Define AI and data platform architecture
- Define engineering standards and development processes
- Design Data Lake
- Develop model serving layers
- Drive real time and batch processing
- Ensure regulatory compliance HIPAA GDPR FDA
- Establish MLOps infrastructure
- Implement Responsible-AI guardrails
- Implement model development training and deployment pipelines
- Integrate LLMs into production systems
- Lead data ingestion pipelines
- Manage engineering OKRs KPIs and delivery metrics
- Optimize latency and cost
- Set evaluation and observability frameworks
- Set up experiment tracking and model registry
- Translate research into production ready AI systems
Perks/Benefits
- Career development program
- Education benefit FreeU
- Free medical coverage
- Retirement savings plan
- Student debt program
- Tuition reimbursement
Skills/Tech-stack
A/B | A/B Testing | AWS | Artificial Intelligence | Automated retraining | Azure | B testing | Batch Processing | Cloud Computing | Cloud platform | Cost Optimization | Data Engineering | Data Feedback | Data Lake | Data Modeling | Data Processing | Data feedback loops | Distributed Systems | Event Driven | Event-driven architecture | Experiment tracking | FDA | Feature Store | Feedback loops | GDPR | Google Cloud | Google Cloud Platform | HIPAA | LLM | Language Processing | Latency optimization | MLOps | Machine Learning | Model Monitoring | Model Registry | Model Serving | Natural Language | Natural Language Processing | Observability | Prompt engineering | RAG | Real Time | Real-time Data | Real-time Data Processing | Regulatory Compliance | Retrieval-Augmented Generation | Streaming Pipelines
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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