Cognizant Machine Learning Job Alerts – MLOps Engineer Hiring

Cognizant is currently hiring skilled candidates for the role of MLOps Engineer across Indore, Bangalore, and Kolkata locations. Below are the complete details regarding this opportunity.

Why Choose Cognizant?

Cognizant is a globally recognized organization with a strong focus on innovation, technology, and a collaborative work culture. With a workforce of over 300,000 associates worldwide, Cognizant fosters a high-caliber team environment where employees support and uplift each other.

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Job Details

• Company Name: Cognizant
• Job Position: MLOps Engineer
• Job Location: Indore, Bangalore & Kolkata
• Job Category: Technology & Engineering
• Work Model: Hybrid
• Salary Package: As per company standards
• Employment Type: Full Time
• Req ID: 00060385271
• Education Level: Graduation

Qualifications & Skills Required

Technical Expertise:

• Cloud Platforms: AWS SageMaker, Azure ML Studio, GCP Vertex AI
• Big Data & ETL: PySpark, Azure Databricks
• MLOps Tools & Frameworks: MLFlow, KubeFlow, AirFlow, GitHub Actions, AWS CodePipeline
• DevOps & Infrastructure: Kubernetes, AKS, Terraform, FastAPI
• Programming & Automation: Python, Bash, Unix command line

Experience & Knowledge:

• Proficiency in Kubernetes and containerized environments.
• Hands-on experience with MLOps pipelines and CI/CD implementation.
• Strong understanding of ML & AI concepts and experience in ML model development.
• Familiarity with AWS and cloud-based MLOps solutions is a plus.

Key Responsibilities

• Deploy, monitor, and retrain ML models in a production environment.
• Design and maintain deployment, inference, monitoring, and retraining pipelines.
• Implement drift detection mechanisms (Data Drift, Model Drift).
• Conduct experiment tracking and maintain MLOps best practices.
• Develop and optimize MLOps architecture.
• Build and publish REST APIs for model serving.
• Research and integrate MLOps tools and frameworks to enhance efficiency.
• Conduct internal training sessions on MLOps technologies and best practices.

Why Join Cognizant?

• Innovation-Driven: Work with cutting-edge technologies and modern MLOps frameworks.
• Collaborative Culture: Be part of a diverse and inclusive team that supports professional growth.
• Career Advancement: Opportunities to upskill and grow within the organization.
• Impactful Work: Contribute to real-world AI/ML applications that make a difference.

How to Apply?

Interested candidates can apply through the official Cognizant job portal.

Apply Link:- Click Here To Apply (Apply before the link expires)

Note: Only shortlisted candidates will be contacted for further interview rounds.