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 AI ML infrastructure across hybrid environments
- Automate governance processes and optimize operational SLAs
- Implement event driven model monitoring and drift detection
- Integrate generative AI and agentic AI into workflows
- Lead Tachyon predictive AI platform on GCP Vertex AI Azure ML and on prem
- Lead model migration from on prem systems to cloud native platforms
- Oversee end to end ML lifecycle feature engineering model development validation deployment monitoring
- Partner with data scientists MLOps engineers and application teams to deliver AI solutions
- Provide technical mentorship to engineering teams
Perks/Benefits
- 401k plan
- Commuter benefits
- Disability benefits
- Health benefits
- Life insurance
- Paid time off
- Parental leave
- Relocation assistance not available
- Tuition reimbursement
Skills/Tech-stack
Agent platform | Agentic AI | Agentic Automation | Ansible | Ansible Playbook | Azure ML | Chainlit | Chainlit chat frameworks | Chat frameworks | Cloud platform | Container Platform | Crew AI | Drift Detection | GCP Vertex | GCP Vertex AI | Gemini Enterprise | Gemini Enterprise Agent Platform | Generative AI | GitHub Actions | Google Cloud | Google Cloud Platform | Infrastructure as Code | Java | Langchain | Langgraph | Language Models | Large Language Models | MCP | ML monitoring | MLOps | Microsoft Autogen | Microsoft Azure | Model Drift | Model Drift Detection | NoSQL | OpenAI | OpenShift Container Platform | 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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