3 days ago
Coimbatore, IndiaSenior / Staff+
Responsibilities
- Research and implement MLOps tools, frameworks, and platforms for Data Science projects.
- Design and maintain model deployment, inference, monitoring, retraining, and CI/CD pipelines.
- Implement model and data drift detection, experiment tracking, and MLOps architecture.
- Operationalize machine learning models and publish REST APIs.
- Raise MLOps maturity through automation and modern Data Science practices.
- Conduct internal training and presentations about MLOps tools and their usage.
Requirements
- 6 to 15 years of experience.
- Wide experience with Kubernetes.
- Experience operationalizing Data Science projects using MLOps frameworks or platforms such as Kubeflow, AWS SageMaker, Google AI Platform, Azure Machine Learning, DataRobot, or DKube.
- Good understanding of ML and AI concepts with hands-on ML model development experience.
- Proficiency in Python for ML and automation tasks.
- Good knowledge of Bash and the Unix command-line toolkit.
- Experience implementing CI/CD/CT pipelines.
- Experience with cloud platforms, preferably AWS.
Benefits
- Pan India location.
- Immediate to 90-day notice period accepted.
- In-person interview mode.
Tech Stack
Categories
About Cognizant
Cognizant is a public IT services and consulting firm that designs, builds, and runs enterprise technology, including digital engineering, cloud modernization, data/AI, and managed services. It sells consulting, systems integration, and outsourcing on multi-year engagements to large enterprises in healthcare, banking, retail, communications, and manufacturing. Founded in 1994 and headquartered in Teaneck, New Jersey, Cognizant is NASDAQ-listed (CTSH) and a Fortune 500 company.