Senior AI Engineer - Data & MLOps (Teradyne, Remote)
Tasks
- Build CI CD testing and infrastructure as code
- Build and integrate AI agents with enterprise data and APIs
- Create MLOps and LLMOps pipelines
- Define drift degradation and retraining criteria
- Design machine learning and generative AI solutions
- Engineer RAG workflows and embeddings
- Establish observability logging and audit trails
- Implement model lifecycle management and versioning
- Implement responsible AI governance and AI security
- Monitor performance quality reliability and cost
- Set up automated evaluation and regression testing
- Train evaluate and deploy ML and generative AI models
Perks/Benefits
- N/A
Skills/Tech-stack
AI Foundry | APIs | Agentic AI | Anthropic Claude | Audit trails | Azure AI | Azure AI Foundry | Azure DevOps | Azure Machine Learning | CI/CD | Copilot Studio | Cortex AI | Drift Detection | Embeddings | GitHub Actions | Google Vertex | Google Vertex AI | LLMOps | Logging | MCP servers | MLOps | MLflow | Machine Learning | Microsoft Copilot | Microsoft Copilot Studio | Model Registry | Observability | Prompt engineering | PyTorch | Python | RAG | Retraining | SQL | Scikit-learn | Snowflake Cortex | Snowflake Cortex AI | TensorFlow | Vector Databases | Vertex AI
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
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