Machine Learning Operations Engineer
Tasks
- Automate ML pipelines
- Automate model retraining cycles
- Build ML infrastructure
- Create Docker images for Python and ML
- Deploy model APIs
- Deploy models using endpoints
- Design ML CI CD pipelines
- Design ML infrastructure
- Implement alerting mechanisms
- Manage ML experiments and model registry
- Manage infrastructure with IaC
- Monitor model performance metrics
- Monitor systems and models
- Operate ML infrastructure
- Optimize ML infrastructure cost
- Orchestrate containers in production
Perks/Benefits
Skills/Tech-stack
AKS | AWS | Airflow | Apache Spark | Azure | CI/CD | CloudFormation | Datadog | Docker | EKS | GCP | GKE | GitHub Actions | Grafana | Hadoop | KServe | Kubeflow | Kubernetes | Linux | MLflow | Machine Learning | Microservices | Prometheus | Python | SageMaker | Sagemaker Pipelines | Terraform | Vertex AI
Education
N/A
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