MLOPS Engineer

Cognizant
Coimbatore, Tamil Nadu, India

Role – MLOPS

Location : Pan Indida

Experience : 5+ to 12 Years

Mode of Interview - In Person (Chennai)

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.

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Questions about this job

How do I apply for the MLOPS Engineer job at Cognizant?

Use the apply link on this page: you apply directly with Cognizant on LinkedIn. Before you do, score your resume against this job description on Fitboard. It shows which skills and keywords the job asks for that your resume doesn't show, so you can fix them first.

What skills does Cognizant want for this MLOPS Engineer role?

The job description asks for AWS SageMaker, Azure ML Studio, GCP Vertex AI, PySpark, Azure Databricks, MLFlow, KubeFlow and AirFlow. Make sure your resume shows the ones you have, in the words the job uses: applicant tracking systems look for them.

How can I get a job at Cognizant?

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Is this MLOPS Engineer job remote or onsite?

This is based in Coimbatore, Tamil Nadu.

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