Senior MLOps Engineer - Remote Position at Cognizant

About the Role

We are seeking a Senior MLOps Engineer to join our team at Cognizant, a leading provider of information technology and consulting services. This remote position offers you the opportunity to work on cutting-edge machine learning solutions across cloud and lakehouse environments. As a Senior MLOps Engineer, you will play a crucial role in supporting the development, deployment, and operationalization of machine learning models.

What You'll Do

• Build, automate, and maintain end-to-end MLOps pipelines for model training, deployment, monitoring, and lifecycle management.
• Develop scalable ML workflows using AWS, Databricks ML, and related cloud-native services.
• Containerize ML applications using Docker and manage deployments across environments.
• Implement model governance, versioning, CI/CD, and automated testing for ML systems.
• Integrate LangChain / LangGraph components into ML workflows where applicable.
• Collaborate with data scientists, data engineers, and product teams to operationalize models.
• Ensure compliance with healthcare data standards, privacy requirements, and governance frameworks.
• Support LLM and agent-based workflows where applicable.

Requirements

• Strong experience with MLOps, ML lifecycle automation, and production model deployment.
• Hands-on expertise with AWS ML services (SageMaker, Lambda, ECS, ECR) and/or Databricks ML.
• Proficiency with Docker and container-based deployment patterns.
• Experience with LangChain or LangGraph (helpful but not required).
• Strong understanding of CI/CD pipelines, Git-based workflows, and DevOps practices.
• Familiarity with monitoring and observability tools for ML systems (MLflow, SageMaker Model Monitor, Databricks Model Serving).
• Experience working with healthcare claims platforms such as Facets, QNXT, or HealthRules.
• Understanding of CPT, ICD-10, HCPCS, and related healthcare coding standards.

Nice to Have

• Experience with feature stores, model registries, and real-time inference architectures.
• Exposure to data engineering concepts (Spark, Delta Lake, medallion architecture).
• Strong analytical, communication, and problem-solving skills.
• Ability to work independently and drive technical decisions in a fast-paced environment.

What We Offer

• Comprehensive medical, dental, and vision insurance.
• Paid holidays plus Paid Time Off.
• 401(k) plan with contributions.
• Long-term/Short-term Disability coverage.
• Paid Parental Leave.
• Employee Stock Purchase Plan.
• Flexible remote work arrangements.

If you thrive in a collaborative environment and are excited about crafting meaningful solutions, we’d love to hear from you! Apply now for the Senior MLOps Engineer - Remote position at Cognizant.