MLOPS Engineer

MLOps Engineer - Cognizant - Hyderabad, Telangana, India

Cognizant is seeking a skilled MLOps Engineer to join our team in Hyderabad, Telangana, India. This role focuses on bridging the gap between machine learning development and production deployment, ensuring efficient and scalable MLOps practices.

About the Role:

As an MLOps Engineer, you will be instrumental in researching, implementing, and maintaining MLOps tools, frameworks, and platforms to enhance our Data Science projects. You will work on a backlog of activities aimed at raising the MLOps maturity within the organization, proactively introducing modern, agile, and automated approaches to Data Science. A key part of this role involves conducting internal training and presentations to share knowledge about the benefits and usage of MLOps tools.

Key Responsibilities:

• Model Deployment, Monitoring, and Retraining
• Development and management of deployment, inference, monitoring, and retraining pipelines
• Implementing drift detection mechanisms for data and model drift
• Experiment tracking and MLOps architecture design
• REST API publishing for ML models

Required Skillset:

• Proficiency with cloud ML platforms: AWS SageMaker, Azure ML Studio, GCP Vertex AI
• Experience with big data technologies: PySpark, Azure Databricks
• Expertise in MLOps tools: MLFlow, KubeFlow, AirFlow, Github Actions, AWS CodePipeline
• Strong understanding of containerization and orchestration: Kubernetes, AKS
• Infrastructure as Code experience: Terraform
• API development: Fast API

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
• Solid understanding of ML and AI concepts with hands-on experience in ML model development
• Proficiency in Python for both ML development and automation tasks
• Strong knowledge of Bash and Unix command-line tools
• Experience in implementing CI/CD/CT pipelines
• Experience with cloud platforms, preferably AWS, is a significant advantage

Interview Details:

• Mode of Interview: In Person
• Date: Scheduled Interview