MLOps Engineer - Cognizant - Hyderabad, Telangana, India

Cognizant is seeking an MLOps Engineer for their Hyderabad, Telangana, India location. This role focuses on building and optimizing the machine learning lifecycle. Interviews will be conducted in person.

Key Skills and Technologies:

• Cloud ML Platforms: AWS SageMaker, Azure ML Studio, GCP Vertex AI
• Big Data Processing: PySpark, Azure Databricks
• ML Orchestration & Experiment Tracking: MLFlow, KubeFlow, AirFlow, Github Actions, AWS CodePipeline
• Containerization & Infrastructure: Kubernetes, AKS, Terraform, Fast API

Responsibilities:

• Model Deployment, Monitoring, and Retraining
• Building and managing Deployment, Inference, Monitoring, and Retraining pipelines
• Implementing Drift Detection for Data and Model drift
• Experiment Tracking
• Designing and implementing MLOps Architectures
• Publishing REST APIs

Job Responsibilities:

• Research and implement MLOps tools, frameworks, and platforms for Data Science projects.
• Contribute to increasing MLOps maturity within the organization.
• Proactively introduce modern, agile, and automated approaches to Data Science.
• Conduct internal training and presentations on MLOps tools and their benefits.

Required Experience and Qualifications:

• Extensive experience with Kubernetes.
• Proven experience in operationalizing Data Science projects (MLOps) using popular frameworks/platforms such as Kubeflow, AWS SageMaker, Google AI Platform, Azure Machine Learning, DataRobot, or DKube.
• Strong understanding of ML and AI concepts with hands-on experience in ML model development.
• Proficiency in Python for both ML and automation tasks.
• Solid knowledge of Bash and Unix command-line tools.
• Experience in implementing CI/CD/CT pipelines.
• Experience with cloud platforms, preferably AWS, is advantageous.