ML OPS - Lead (8+)
irissoftware
|
129 days ago
|
Noida
Job Description
- 8+ years of experience in ML Ops engineering or a related field.
- Strong proficiency in Python, with experience in machine learning libraries such as TensorFlow, PyTorch, scikit-learn, etc.
- Extensive experience with ML Ops frameworks like Kubeflow, MLflow, TensorFlow Extended (TFX), KubeFlow Pipelines, or similar.
- Strong experience in deploying and managing machine learning models in cloud environments (AWS, GCP, Azure).
- Proficiency in managing CI/CD pipelines for ML workflows using tools such as Jenkins, GitLab, CircleCI, etc.
- Hands-on experience with containerization (Docker) and orchestration (Kubernetes) technologies for model deployment.
- Skills : SageMaker, PySpark, AWS Services ; Nice to have: MLOps
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