Senior AI Ops Engineer
USA-MI-Ann Arbor-KLA, United States
USD 111K-190K Senior-level Full Time
Tasks
- Build ML CI/CD pipelines
- Build model training and fine tuning pipelines
- Create automated deployment and rollback strategies
- Create standardized training recipes and templates
- Design ML workflow orchestration
- Develop evaluation harnesses and benchmark suites
- Enable distributed GPU training pipelines
- Ensure dataset code config artifact lineage reproducibility
- Evaluate models and promote across environments
- Implement ML experiment tracking
- Implement checkpointing mixed precision and fault tolerance
- Orchestrate scheduled runs triggered retrains parameter sweeps
- Report quality safety latency and cost metrics
Perks/Benefits
- 401k matching
- Dental insurance
- Employee assistance program
- Life insurance
- Medical insurance
- Paid Company Holidays
- Paid time off
- Tuition reimbursement
- Vision insurance
Skills/Tech-stack
Airflow | Argo Workflows | Azure Bicep | CI/CD | Checkpointing | Distributed Training | Docker | Fault Tolerance | Git | Human Feedback | Infrastructure as Code | Kubeflow | Kubernetes | Learning from Human Feedback | LoRA | MLflow | Mixed Precision | PEFT | Python | Reinforcement Learning | Reinforcement Learning from Human Feedback | Spot instances | Terraform | Transformers | Weights and Biases | “as-code”
Education
Roles
AI Ops Engineer | Engineer | ML Engineer | MLOps Engineer | Ops Engineer | Senior AI Ops Engineer
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