Cognizant

MLOps Intern at Cognizant

InternshipIn OfficeKolkata6 months22K/mo5 openingsWithin 30 days

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Featured Government Job — IBPS PO 2026

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Probationary Officer (PO / MT)

CRP PO/MT-XVI

Vacancies: 6,715
Last date to apply: 21 Jul 2026
Salary starting from: ₹48,480 / month

Prelims on 22–23 Aug 2026 · Graduates in any discipline are eligible · Approx. in-hand ₹57,000 – ₹60,000 in-hand.

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About this internship

Cognizant is hiring a MLOps Intern in Kolkata for a 6-month, fully mentored internship. This is real, reviewed work on live projects — not a training sandbox or a certificate mill. About the internship You will join the ML platform team and work alongside people who do this professionally every…

Skills you'll use

PythonDockerKubernetesCI/CDMLflowModel DeploymentMonitoringGitCloud PlatformsData Versioning

What you'll do

Package and deploy trained models as serving endpoints.
Build CI/CD pipelines for model retraining and release.
Monitor model performance and data drift in production.
Version datasets, experiments and model artefacts.
Document your work so the next person can pick it up

Who can apply

Education: pursuing or completed B.E./B.Tech/BCA/MCA/B.Sc in CS, IT or a related discipline
Graduation year: 2025, 2026 or 2027 batch
Minimum 60% / 6.0 CGPA (relaxable for candidates with strong practical projects)
Technical skills: working knowledge of Python, Docker, Kubernetes, CI/CD
Soft skills: clear written communication, ownership, willingness to document work
Experience: none required — freshers welcome; prior projects or certifications are a plus

Perks & benefits

Certificate of CompletionLetter of RecommendationPre-Placement Offer (PPO) OpportunityFlexible Working HoursMentorship from Industry ExpertsFree Learning Resources & Certification SupportReal Project & Portfolio ExposureNetworking with Professionals

Interview & selection process

1The selection process for the MLOps Intern role at Cognizant is merit-based and typically runs over 4 stages: Round 1: Application & Resume Screening — apply through this page; profiles are shortlisted on fundamentals, projects and role fit. Round 2: Online Assessment — aptitude plus role-specific questions covering Python, Docker, Kubernetes. Round 3: Technical / Functional Interview — a discussion of your projects and practical scenarios covering Python, Docker, Kubernetes, CI/CD, MLflow. Expect "how would you approach this?" rather than definitions. Round 4: HR Discussion — role expectations, stipend, start date, location and offer. Shortlisted candidates are contacted after applying. There are no charges at any stage of the process — Cognizant never asks candidates for money.

About Cognizant

About Cognizant Cognizant is a leading global professional services company that helps clients modernise technology, reimagine processes and transform experiences. It is one of India's largest IT employers with major delivery centres across Chennai, Hyderabad, Pune and Kolkata. Industry IT…

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