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Cognizant Softvision

AI OPS: Integration/API Engineer with MLOps, AI-ML developer

Cognizant Softvision
Bengaluru, India
7-13 Years
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Job Description

Role : AI OPS / MLOPS Engineer - AIML Developer

Location - Bangalore

Experience- 7 To 13 Years

Notice Period -Immediate to 90 days

MLOps Engineer

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.

More Info

Job Type:
Permanent Job
Industry:
Other
Function:
Ai/Ml
Employment Type:
Full time

About Company

Cognizant Softvision

Job ID: 148585329

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Last Updated: 01-06-2026 10:11:03 PM
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