MLOPS Engineer
3 hours ago
Location - Noida UP/Gurugram HR/ Pune MH (3 days hybrid/week)
Experience: 6-12 years
Shift Timing: 1:00 PM to 10:00 PM
Major Skills: ML OPS, ML Ops frameworks like Kubeflow, MLflow, TensorFlow Extended (TFX), KubeFlow Pipelines, AWS Cloud, CI/CD pipeline, containerization (Docker) and orchestration (Kubernetes)
Job Description
- 6+ 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
Job In
Experience Required (Min) - 6
Experience Required (Max) - 8
Primary Skill - Data Science and Machine Learning - Data Science and Machine Learning - AI/ML
Employee Class - Permanent
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