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Senior Machine Learning Operations Engineer @ Atyeti

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 Senior Machine Learning Operations Engineer

Job Description

Required Skills & Qualifications:

  • Bachelors or Masters degree in Computer Science, Engineering, or related field.
  • 7+ years of experience in ML Ops, DevOps, or related roles.
  • Hands-on experience with Azure ML, Azure DevOps, Azure Kubernetes Service (AKS), and Azure Data Factory.
  • Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Experience with containerization (Docker) and orchestration (Kubernetes).
  • Familiarity with monitoring tools (e.g., Prometheus, Grafana) and logging frameworks.
  • Solid understanding of ML lifecycle, model versioning, and reproducibility.
  • Excellent problem-solving and communication skills.

Job Classification

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

Contact Details:

Company: Atyeti
Location(s): Hyderabad

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Keyskills:   Azure Docker AKS Machine Learning Operations Devops

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Atyeti

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 5...