SR MLOps Engineer- Remote

Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process outsourcing services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.). Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 1000, and the Fortune 500 and we are among the top performing and fastest growing companies in the world. Candidates must have work authorization that does not require current or future visa sponsorship. Full time Remote Job Description : SR MLOps Engineer We are seeking an experienced MLOps Engineer to support the development, deployment, and operationalization of machine learning solutions across cloud and lakehouse environments. The ideal candidate will have strong handsu2011on experience with MLOps practices, containerization, and modern ML orchestration frameworks. Healthcare domain expertiseu2014particularly in claims systems and coding standardsu2014is a key requirement for this role. Key Responsibilities + Build, automate, and maintain endu2011tou2011end 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 Required Technical Skills + Strong experience with MLOps, ML lifecycle automation, and production model deployment. + Handsu2011on 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). Healthcare Domain Expertise + Experience working with healthcare claims platforms such as Facets, QNXT, or HealthRules. + Understanding of CPT, ICDu201110, HCPCS, and related healthcare coding standards. + Knowledge of claims lifecycle, adjudication processes, and payer data models. + Ability to translate healthcare business rules into scalable ML and automation solutions. Preferred Qualifications + Experience with feature stores, model registries, and realu2011time inference architectures. + Exposure to data engineering concepts (Spark, Delta Lake, medallion architecture). + Strong analytical, communication, and problemu2011solving skills. + Ability to work independently and drive technical decisions in a fastu2011paced environment. Application Accepted: 4/15/2026 The annual salary for this position is between $120,000 - $130,000 depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizantu2019s discretionary annual incentive program, based on performance and subject to the terms of Cognizantu2019s applicable plans. Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements: + Medical/Dental/Vision/Life Insurance + Paid holidays plus Paid Time Off + 401(k) plan and contributions + Long-term/Short-term Disability + Paid Parental Leave + Employee Stock Purchase Plan Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law. Our strength is built on our ability to work together. Our diverse backgrounds offer different perspectives and new ways of thinking. It encourages lively discussions, creativity, productivity, and helps us build better solutions for our clients. We want someone who thrives in this setting and is inspired to craft meaningful solutions through true collaboration. If you are content with ambiguity, excited by change, and excel through autonomy, weu2019d love to hear from you #LI-AV1#CB#Ind123Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

Created: 2026-03-26