AI OPS: Integration/API Engineer with MLOps, AI-ML developer

Company: Cognizant

Role: AI OPS / MLOPS Engineer - AIML Developer

Location: Bangalore / India, Hybrid

Experience:

7 to 13 years

Qualification:

Wide experience with Kubernetes
Experience in operationalization of Data Science projects (MLOps) using at least one of the popular frameworks or platforms
Good understanding of ML and AI concepts
Hands-on experience in ML model development
Proficiency in Python
Good knowledge of Bash and Unix command line toolkit
Experience in CI/CD/CT pipelines implementation
Experience with cloud platforms - preferably AWS

Role Focus: • Model Deployment • Model Monitoring • Model Retraining • Deployment pipeline • Inference pipeline • Monitoring pipeline • Retraining pipeline • Drift Detection • Data Drift • Model Drift • Experiment Tracking • MLOps Architecture • REST API publishing

Additional responsibilities:

Research and implement MLOps tools, frameworks and platforms for 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

Other:

Cognizant is an equal opportunity employer
Applicants may be required to attend interviews in person or by video conference
Candidates may be required to present their current state or government issued ID during each interview

AI OPS / MLOPS Engineer - AIML Developer

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