MLOPS Engineer

3 hours ago


Noida Uttar Pradesh India, Ghaziabad Iris Software Inc. Full time

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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