Machine Learning Operations

Capgemini

6 - 11 years

20 - 35 Lacs

hyderabad chennai bengaluru

Posted:1 week ago| Platform:

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Skills Required

generative ai ops machine learning azure devops aws devops artificial intelligence natural language processing azure machine learning data bricks

Work Mode

Hybrid

Job Type

Full Time

Job Description

MLOps Engineer

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.

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