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Machine Learning Operations @ Capgemini

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 Machine Learning Operations

Job Description

We are seeking a passionate and skilled MLOps Engineer to join our AI Engineering team. You will play a key role in designing, developing, and deploying scalable AI solutions in collaboration with our Central ML Platform team.


Key Responsibilities:

  • Collaborate on the ideation and design of AI use cases across business domains.
  • Experiment and implement new ML capabilities with the Central ML platform team.
  • Develop and maintain CI/CD templates, Infrastructure as Code (IaC), and standardized delivery patterns for AI applications.
  • Support Data Scientists and IT Engineers in productionalizing ML models and integrating AI into enterprise systems.
  • Ensure robust and scalable deployment pipelines using modern DevOps practices.

Technical Skills:

Must-Have:

  • Proficiency in Python, Docker, Git, SQL, and RESTful APIs.
  • Experience with DevOps tools and practices for ML workflows.
  • Strong understanding of CI/CD pipelines and model lifecycle management.

Good to Have:

  • Hands-on experience with Cloud platforms (Azure, AWS, or GCP).
  • Familiarity with Infrastructure as Code tools like Terraform or Bicep.
  • Exposure to ML model monitoring, versioning, and governance frameworks.

Qualifications:

  • Bachelors or master's degree in computer science, Data Engineering, or related field.
  • 3+ years of experience in MLOps, DevOps, or AI Engineering roles.
  • Strong problem-solving and collaboration skills.

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: Capgemini
Location(s): Hyderabad

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Keyskills:   Generative Ai Ops Machine Learning Azure Devops Aws Devops Artificial Intelligence Natural Language Processing Azure Machine Learning Data Bricks

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