MLops Engineer

Job Responsibilities

Research and implement MLOps tools, frameworks and platforms for our Data Science projects.

Work on a backlog of activities to raise MLOps maturity in the organization.

Proactively introduce a modern, agile and automated approach to Data Science.

Conduct internal training and presentations about MLOps tools benefits and usage.

Required experience and qualifications

Wide experience with Kubernetes.

Experience in operationalization of Data Science projects (MLOps) using at least one of the popular frameworks or platforms (e. g. Kubeflow, AWS Sagemaker, Google AI Platform, Azure Machine Learning, DataRobot, DKube).

Good understanding of ML and AI concepts. Hands-on experience in ML model development.

Proficiency in Python used both for ML and automation tasks. Good knowledge of Bash and Unix command line toolkit.

Experience in CI/CD/CT pipelines implementation.

Experience with cloud platforms - preferably AWS - would be an advantage

Location Kolkata

The Cognizant community
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• Cognizant is a global community with more than 350, 000 associates around the world.
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About us
Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U. S. , Cognizant (a member of the NASDAQ-100 and one of Forbes World s Best Employers 2024) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www. cognizant. com

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