Machine Learning Operations @ Capgemini

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Machine Learning Operations

Capgemini
6 - 11 years
Hyderabad
4 months ago
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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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Current / Recent Company (*)

Experience (*)

Expected Salary (*)

Desired Industry (*):

Functional area / Department (*):

Enter Skills (key skills, subjects, technologies & roles to use in search)

Write briefly about yourself, your experience and education (*)

Attach ResumeMax 2.38 MB (RTF, PDF, DOC, DOCX formats only parsed)

Please, check the file size and type.

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