Cognizant
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Unknown · São Paulo, Brazil
Hiring: Engineering
What employees say
+ Initiative the works to develop technical knowledge
− There is no time consumption
More reviews on the company profile.
Interview experience · Jr.Software Engineer
1)2Technical round (Based on Technical Skill ,Two Coding based Question,SQL) 2)Hr discussion (if selected ) Cognizant helps companies modernize technology, reimagine processes and transform experiences so they stay ahe
Average difficulty · India · 3 reports
More interview insightsJob description
Overview
Role – MLOPS Location : Pan Indida Experience : 5+ to 12 Years Mode of Interview - In Person (Chennai)
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
- 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.
- Wide experience with Kubernetes.
Qualifications
- AWS SageMaker, Azure ML Studio, GCP Vertex AI
- PySpark, Azure Databricks
- MLFlow, KubeFlow, AirFlow, Github Actions, AWS CodePipeline
- Kubernetes, AKS, Terraform, Fast API
- 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.
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Job application FAQ
Last updated 21 September 2026
- How do I apply for MLOPS Engineer at Cognizant?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Cognizant may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this MLOPS Engineer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is MLOPS Engineer remote or on-site in Coimbatore, Tamil Nadu?
- This listing is marked on_site with location Coimbatore, Tamil Nadu. Confirm details on the job description before applying.
- What skills matter for this MLOPS Engineer role at Cognizant?
- This is a mid-level MLOPS Engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.