Principal Engineer - Machine Learning & Inference Engineering
109562-CA-1755 Grant, Concord, United States
USD 305K Senior-level Full Time
Tasks
- Advise leadership on AI strategy and technical decisions
- Architect scalable secure compliant AI ML infrastructure
- Automate governance and optimize operational SLAs
- Implement model monitoring and drift detection
- Integrate generative AI and agentic AI into workflows
- Lead design development and operationalization of enterprise AI ML solutions
- Lead model migration to cloud native platforms
- Oversee end-to-end ML lifecycle
- Provide technical guidance and mentorship to engineering teams
Perks/Benefits
- 401k plan
- Commuter benefits
- Disability benefits
- Health benefits
- Life insurance
- No visa sponsorship
- Paid time off
- Parental leave
- Relocation assistance not available
- Tuition reimbursement
- Tuition scholarships
Skills/Tech-stack
AI platforms | Agentic AI | Ansible | Ansible Playbooks | Azure | Azure ML | Chainlit | Cloud AI | Cloud AI Platforms | Cloud platform | Container Platform | Containerization | Crew AI | Drift Detection | Event Driven | Event-driven architecture | Feature Engineering | Generative AI | GitHub Actions | Google Cloud | Google Cloud Platform | Google Vertex | Google Vertex AI | Harness CD | Infrastructure as Code | Java | LLM | Langchain | Langgraph | MLOps | Machine Learning | Microsoft Autogen | Model Drift | Model Drift Detection | Model Monitoring | NoSQL | On-prem | On-prem AI | OpenShift Container Platform | Playwright | Prompt engineering | PyTorch | Python | RAG Pipelines | Retrieval-Augmented Generation | SQL | Shell Scripting | TensorFlow | Terraform | Vector Databases | Vertex AI | “as-code”
Education
N/A
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