Senior AI/ML Engineer, Production AI (Contractor)
Somerset, New Jersey, United States
USD 107K-141K (estimate) Senior-level Contract
Tasks
- Build production Generative AI systems
- Build production ML systems
- Build reproducible training pipelines
- Build vector search
- Collaborate with Data Engineering Security QA and Business
- Define ML and GenAI evaluation frameworks
- Deploy ML and GenAI services
- Ensure security and access control for AI systems
- Establish acceptance criteria for regulated environments
- Implement RAG solutions
- Implement controlled deployment and rollback
- Implement embedding pipelines
- Implement human-in-the-loop workflows
- Implement logging and traceability
- Implement model and prompt versioning
- Implement prompt engineering and prompt versioning
- Implement responsible AI controls
- Integrate workflows with enterprise data platforms
- Monitor data embedding drift
- Monitor model drift
- Monitor prompt and response behavior
- Set up CI CD for ML and GenAI
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Access Control | Azure | Bias Mitigation | CI/CD | Cloud Computing | Cloud platform | Continuous Delivery | Continuous integration | Data Drift | Data Lineage | Data Privacy | Deployment Rollback | Drift Detection | Embeddings | Enterprise SDLC | Explainable AI | Fairness metrics | GenAI Ops | Google Cloud | Google Cloud Platform | Language Models | Large Language Models | Logging | MLOps | Machine Learning | Model Drift | Model Drift Detection | Model versioning | Monitoring | Observability | Prompt engineering | Prompt versioning | PyTorch | Python | Regulated software | Regulated software development | Retrieval-Augmented Generation | Scikit-learn | Software development | TensorFlow | Traceability | Vector Databases | Vector Search
Education
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