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ML OPS - Senior Engineer @ Iris Software

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 ML OPS - Senior Engineer

Job Description


  • 5+ 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
Mandatory Competencies
Data Science and Machine Learning - Data Science and Machine Learning - AI/ML
Data Science and Machine Learning - Data Science and Machine Learning - Python
Data Science and Machine Learning - Data Science and Machine Learning - Pytorch
Beh - Communication
Development Tools and Management - Development Tools and Management - CI/CD
DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Containerization (Docker, Kubernetes)

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time

Contact Details:

Company: Iris Software
Location(s): Noida, Gurugram

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Keyskills:   python aiml machine learning artificial intelligence ml continuous integration kubernetes aws iam scikit-learn ci/cd microsoft azure aws sagemaker pyspark docker tensorflow ops data science gcp devops pytorch jenkins gitlab aws ci cd pipeline

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Iris Software

Iris Software Inc.