Senior MLOps Engineer
Support Services Headquarters Building, United States
USD 150K-225K (estimate) Senior-level Full Time
Tasks
- Build and maintain CI/CD pipelines for ML workflows
- Collaborate with Data Scientists to productionize models
- Contribute to platform design for low latency inference and scalable serving
- Define and enforce ML governance and quality standards
- Design build and maintain production ML pipelines
- Develop and manage real time and streaming data pipelines
- Implement automated retraining strategies
- Implement model versioning experiment tracking and reproducibility
- Monitor model performance and data drift
- Operationalize ML models for deployment monitoring lifecycle management
- Optimize performance scalability and cost of distributed workloads
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | Apache Spark | Azure | B testing | CI/CD | Databricks | Delta Lake | Docker | ELK | Event Driven | Event-driven architecture | Feature Stores | Governance | Kafka | Kubernetes | Low Latency | Low Latency APIs | MLflow | Model Serving | Observability | Python | RBAC | Real Time | Real-time Systems | Security | Snowflake | Streaming Data | Terraform | Time Systems
Education
N/A
Roles
Engineer | MLOps Engineer | Senior MLOps | Senior MLOps Engineer
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