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The Company
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 has over 340,000 employees as of January 2025. Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 1000, and the Fortune 500 and is ranked among the top performing and fastest growing companies in the world.
Position Summary
The MLOps Engineer is responsible for ensuring the smooth deployment, automation, and monitoring of AI models in production environments. This role requires expertise in DevOps practices, cloud computing, and AI model deployment. The MLOps Engineer will collaborate with AI Engineers and Data Scientists to build and maintain robust AI pipelines.
Key Responsibilities
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 has over 340,000 employees as of January 2025. Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 1000, and the Fortune 500 and is ranked among the top performing and fastest growing companies in the world.
Position Summary
The MLOps Engineer is responsible for ensuring the smooth deployment, automation, and monitoring of AI models in production environments. This role requires expertise in DevOps practices, cloud computing, and AI model deployment. The MLOps Engineer will collaborate with AI Engineers and Data Scientists to build and maintain robust AI pipelines.
Key Responsibilities
- Design and implement CI/CD pipelines for AI model deployment.
- Automate the deployment and monitoring of AI models.
- Manage and maintain AI infrastructure on cloud platforms.
- Implement monitoring and logging solutions for AI applications.
- Troubleshoot and resolve issues related to AI model deployment and performance.
- Ensure the scalability and reliability of AI systems.
- Collaborate with AI Engineers and Data Scientists to optimize model deployment.
- Implement security best practices for AI systems.
- Bachelor’s or master’s degree in computer science, Software Engineering, or a related field.
- Minimum of 3 years of experience in DevOps or MLOps.
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).
- Proficiency in scripting languages such as Python or Bash.
- Strong understanding of CI/CD pipelines and automation tools.
Key Skills
Ranked by relevance
ai
cloud
mlops
devops
cicd
deployment automation
containerization
python
docker
bash
aws
gcp
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- Posted
- Jun 20, 2025
- Type
- Full-time
- Level
- Entry
- Location
- Doha
- Company
- Cognizant
Industries
IT Services
IT Consulting
Business Consulting
Services
Categories
Engineering
Information Technology
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3 roles aligned with this opportunity
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