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ML OPS - Senior Engineer @ Iris Software

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 ML OPS - Senior Engineer

Job Description

  • 5+ years of experienceinML Opsengineering or a related field.
  • Strong proficiency inPython, with experience inmachine learning librariessuch asTensorFlow,PyTorch,scikit-learn, etc.
  • Extensive experience withML Ops frameworkslikeKubeflow,MLflow,TensorFlow Extended (TFX),KubeFlow Pipelines, or similar.
  • Strong experience in deploying and managing machine learning models incloud environments(AWS, GCP, Azure).
  • Proficiency in managingCI/CD pipelinesfor ML workflows using tools such asJenkins,GitLab,CircleCI, etc.
  • Hands-on experience withcontainerization(Docker) andorchestration(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: Engineering - Software & QA
Role Category: Software Development
Role: Search Engineer
Employement Type: Full time

Contact Details:

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

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Keyskills:   docker kubernetes business automation it services logistics machine learning financial services containerization automation quality engineering data science gcp devops aws aws services

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Iris Software

Iris Software Inc.