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 hands‑on experience with MLOps practices, containerization, and modern ML orchestration frameworks. Healthcare domain expertise—particularly in claims systems and coding standards—is a key requirement for this role.
Key Responsibilities
- 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
Required Technical Skills
- 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).
Healthcare Domain Expertise
- Experience working with healthcare claims platforms such as Facets, QNXT, or HealthRules.
- Understanding of CPT, ICD‑10, 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 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.
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 Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s 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, we’d love to hear from you!
A comunidade Cognizant:
Somos uma equipe de alto calibre que aprecia e apoia uns aos outros. Nosso pessoal defende um local de trabalho enérgico, colaborativo e inclusivo, onde todos possam prosperar.
- A Cognizant é uma comunidade global com mais de 300,000 funcionários em todo o mundo.
- Não sonhamos apenas com um caminho melhor – nós fazemos acontecer.
- Cuidamos de nossas pessoas, clientes, empresa, comunidades e clima fazendo o que é certo.
- Promovemos um ambiente inovador onde você pode construir o plano de carreira certo para você.
Quem somos:
Cognizant (NASDAQ: CTSH) é uma construtora de IA e fornecedora de serviços de tecnologia, criando a ponte entre o investimento em IA e o valor para as empresas por meio do desenvolvimento de soluções de IA completas para nossos clientes. Nossa profunda experiência em setores, processos e engenharia nos permite incorporar o contexto único de cada organização em sistemas tecnológicos que potencializam a capacidade humana, geram retornos concretos e mantêm empresas globais à frente em um mundo em rápida transformação. Saiba mais em www.cognizant.com ou @cognizant.
A Cognizant é uma empregadora que investe em equidade. Sua candidatura não será pautada em raça, cor, gênero, sexualidade, credo, origem, deficiência, gravidez ou qualquer outra característica protegida pelas leis brasileiras.
Se você tem uma deficiência que requer adaptações razoáveis para procurar uma vaga de emprego ou enviar uma candidatura, envie um e-mail para [email protected] com sua solicitação e informações de contato.
Disclaimer:
As informações de compensação são precisas a partir da data desta publicação. A Cognizant se reserva o direito de modificar essas informações a qualquer momento, sujeito à lei aplicável.
Os candidatos podem ser obrigados a comparecer a entrevistas presenciais ou por videoconferência. Além disso, os candidatos podem ser obrigados a apresentar seu documento de identificação emitido pelo estado ou governo atual durante cada entrevista.
Embora nosso sistema permita a candidatura em todos os idiomas, o(s) idioma(s) e o(s) nível(is) de proficiência exigidos para o trabalho variam. No entanto, é necessário um nível básico de inglês para fins de comunicação em toda a empresa.