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MLOPS Engineer - Hyderabad at TAS Cognizant

TAS Cognizant · Hyderabad, India · Onsite

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Role : MLOps Engineer

Location : Hyderabad

Mode of Interview - In Person - Hyderabad
Data - 11th Oct 2025 (Saturday)

Responsibilities

  • 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

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.
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