ML Ops Engineer
Tasks
- Build reusable MLOps components
- Collaborate with data and clinical teams
- Deploy machine learning workflows at scale
- Design production inference workflows
- Ensure healthcare compliance and data privacy alignment
- Establish model lifecycle management
- Evaluate machine learning models
- Implement experiment tracking
- Maintain machine learning platform services
- Operate monitored machine learning systems
Perks/Benefits
Skills/Tech-stack
ASP.Net Core | Active Directory | Azure | Azure Active Directory | Azure Cosmos | Azure Cosmos DB | C# | Cosmos DB | Distributed Systems | Experiment tracking | Kubernetes | Lifecycle Management | ML orchestration | Machine Learning | Model Evaluation | Model Lifecycle | Model Lifecycle Management | Production Inference | PyTorch | Python | React | Terraform | TypeScript
Education
N/A
Regions
Countries
States
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