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MLOps Engineer
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- Posted 22 days ago
- Be among the first 10 applicants
Job Description
- SageMaker 2. MLflow 3. Kubeflow 4. Databricks 5. MLOps 6. Model Deployment 7. Model Monitoring 8. Model Retraining 9. Feature Store 10. CI/CD for ML 11. Training Pipelines 12. Inference Pipelines 13. Drift Detection 14. Docker 15. Kubernetes/EKS 16. Terraform 17. CloudFormation 18. AWS Lambda 19. Python Automation
- 5+ yrs DevOps/Cloud/MLOps experience; Python for scripting and automation
- Strong with Jenkins, Git, Docker, EKS troubleshooting
- AWS: SageMaker, Lambda, S3, ECS, IAM, RDS, infra creation
- IaC: CloudFormation (CFT) and Terraform
- MLOps: build/operate ML pipelines deploying to SageMaker, Databricks, or Lambda
More Info
Key Skills
Drift Detection
MLflow
Kubeflow
Inference Pipelines
SageMaker
Feature Store
Model Retraining
Training Pipelines
Model Deployment
Kubernetes EKS
CI CD for ML
About Company
Skills:
composer , Github, BigQuery, Microservices, Cloud Storage, Git, MLops, Docker, Rest Apis, Python, Airflow, Vertex AI, CI/CD
Skills:
Pytorch, Python, Kubernetes, Docker, Dask, DeepSpeed, Airflow, MLflow, Ray.io, TensorRT
Skills:
AWS, Apache Airflow, Python, Github, Terraform, Ray, MLflow, Kubernetes EKS
Skills:
Sql, Tensorflow, Grafana, Arm, Pytorch, Cloudformation, Terraform, Gcp, Git, Azure DevOps, AWS, Prometheus, Kubernetes, Python, Azure, Docker, Jenkins, Spark, scikit-learn, Feast, Airflow, Bicep, GitLab CI, Prefect, rbac, GitHub Actions, MLflow, Kubeflow, Dagster
Skills:
Docker, Kubernetes, LangChain, LangGraph, AWS Bedrock, AWS SageMaker, CI CD tooling, modern monitoring solutions