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MLOPS Engineer

Cognizant

Full time On-site
Experience
6–15 years
Location
Coimbatore
Work mode
On-site
Salary
₹10L – ₹25L a year estimatetypical for IT Jobs in India, 838 posts
Posted 9 days ago

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Role at a glance

You will
  • + Model Deployment, Model Monitoring, Model Retraining
  • + Deployment pipeline, Inference pipeline, Monitoring pipeline, Retraining pipeline
  • + Drift Detection, Data Drift, Model Drift
Experience
6–15 years
Must-have skills
AWSAirflowApache SparkDatabricksGitHub ActionsGoogle Cloud Platform (GCP)
Work mode
On-site

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Job description

Location: Coimbatore, India

Role: MLOPS Engineer
Location: Pan India
Experience: 6 to 15 Years
Notice Period: Immediate to 90 days
Mode of Interview: In-Person
Key words -Skillset
+ AWS SageMaker, Azure ML Studio, GCP Vertex AI
+ PySpark, Azure Databricks
+ MLFlow, KubeFlow, AirFlow, Github Actions, AWS CodePipeline
+ Kubernetes, AKS, Terraform, Fast API
Responsibilities
+ Model Deployment, Model Monitoring, Model Retraining
+ Deployment pipeline, Inference pipeline, Monitoring pipeline, Retraining pipeline
+ Drift Detection, Data Drift, Model Drift
+ Experiment Tracking
+ MLOps Architecture
+ REST API publishing
Job Responsibilities:
· Research and implement MLOps tools, frameworks and platforms for our Data Science projects.
· Work on a backlog of activities to raise MLOps maturity in the organization.
· Proactively introduce a modern, agile and automated approach to Data Science.
· Conduct internal training and presentations about MLOps tools’ benefits and usage.
Required experience and qualifications:
· Wide experience with Kubernetes.
· Experience in operationalization of Data Science projects (MLOps) using at least one of the popular frameworks or platforms (e.g. Kubeflow, AWS Sagemaker, Google AI Platform, Azure Machine Learning, DataRobot, DKube).
· Good understanding of ML and AI concepts. Hands-on experience in ML model development.
· Proficiency in Python used both for ML and automation tasks. Good knowledge of Bash and Unix command line toolkit.
· Experience in CI/CD/CT pipelines implementation.
· Experience with cloud platforms - preferably AWS - would be an advantage.
Cognizant 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.

Job data: Headcount Labs (headcountlabs.com), ODbL 1.0. The job description belongs to the employer. Location data © OpenStreetMap contributors and Overture Maps.

Key skills

Required

AWSAirflowApache SparkDatabricksGitHub ActionsGoogle Cloud Platform (GCP)KubernetesMicrosoft AzureTerraform

Job market insights

15active AWS jobs in Coimbatore
348active Airflow jobs in India
416active Apache Spark jobs in India
₹10L – ₹25L advertised yearly salary for IT Jobs in India (middle half of 838 posts that show a salary; median ₹17L)
127 more open jobs at Cognizant

Most IT Jobs posts in Coimbatore ask for 3–6 years of experience (48% of 88 that say).

Hiring most for IT Jobs in Coimbatore

  • Bosch Group38 open jobs
  • Eurofins9 open jobs
  • Blue Yonder7 open jobs

Jobs asking for AWS in Coimbatore also ask for

  • Microsoft Azure67%
  • Google Cloud Platform (GCP)60%
  • Java47%
  • SQL33%
  • Python27%

From live job posts on CoreHRx, updated 13 Nov 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.

Questions about this job

What is the salary for this MLOPS Engineer job?

The post does not state the pay. As an estimate, comparable posts on CoreHRx advertise ₹10L – ₹25L a year (typical for IT Jobs in India, 838 posts).

How much experience does this job need?

The post asks for 6–15 Yrs experience.

Where is this job based?

In Coimbatore (on-site).

What kind of job is this?

It is a full time job.

This page is for Indian job seekers preparing for cloud engineer, DevOps, backend and solutions architect roles that list AWS as a skill, whether you are a fresher with a first certification or an experienced engineer moving into a senior role. It covers 60 questions in three levels: core services and concepts, then design and configuration choices for one to three years of experience, and finally scenario, security, cost and troubleshooting questions asked in senior rounds. Read each answer, explain it aloud in your own words, and try the CLI commands in a practice account with a billing alert set.

Questions you may be asked

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  2. Explain the AWS shared responsibility model.
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