Manager, Machine Learning Operations (MLOps)
Tasks
- Create and maintain ML CI CD pipelines
- Deploy, monitor, and optimize ML models
- Design ML infrastructure for training deployment and serving
- Drive ML Ops tooling and architecture decisions
- Ensure high availability and reliability of ML services
- Implement ML model lifecycle management
- Implement model monitoring alerting observability
- Lead MLOps team
- Manage project timelines priorities and resources
- Mentor machine learning engineers
- Optimize model inference performance reduce latency and cost
- Productionize models with engineering and data science
Perks/Benefits
- 401k match
- FSA options
- Flexible PTO
- Flexible hybrid work schedule
- Life insurance
- Medical, dental, and vision insurance
- Paid Holidays
- Paid parental leave
- Professional development
Skills/Tech-stack
AWS | ArgoCD | CI/CD | Cost Optimization | DBT | Datadog | Docker | Experiment tracking | Feature Store | GCP | GCS | GitHub Actions | Huggingface | Inference Optimization | Inference Server | Kubernetes | LLM serving | Latency optimization | Model Inference | Model Inference Optimization | Model Monitoring | Model Testing | Model versioning | Multimodal Embeddings | ONNX | Observability | Pandas | PyTorch | Python | Qdrant | Ray | SGLang | SQL | Snowflake | TensorRT | Terraform | Transformers | Triton Inference | Triton Inference Server | VLLM | Voxel51 Teams | Weights and Biases
Education
Regions
Countries
States
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