Machine Learning Operations Engineer
Tasks
- Deploy ML inference pipelines
- Deploy ML pipelines on Kubernetes
- Design ML training pipelines
- Implement CI/CD workflows for ML pipelines
- Integrate feedback loops
- Manage model versioning and reproducibility
- Retrain models on trigger events
- Set up model monitoring and alerting
- Track experiments with MLflow
- Tune and optimize LLM applications performance
- Use Helm for Kubernetes deployments
- Write scalable Python code for ML services
Perks/Benefits
- N/A
Skills/Tech-stack
Alerting | CI/CD | CUDA | Drift Detection | Entity recognition | Helm | Jenkins | Kubeflow | Kubernetes | MLflow | Machine Learning | Machine Learning Pipelines | Model Monitoring | Model versioning | NLP | Named Entity Recognition | PyTorch | Python | Text Classification
Education
N/A
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