Ml Ops Engineer

Year    Hyderabad, Telangana, India
Cognizant
192 Current Jobs Openings
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Job Description


MLOps EngineerKey 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:xc2xb7 Research and implement MLOps tools, frameworks and platforms for our Data Science projects.xc2xb7 Work on a backlog of activities to raise MLOps maturity in the organization.xc2xb7 Proactively introduce a modern, agile and automated approach to Data Science.xc2xb7 Conduct internal training and presentations about MLOps toolsxe2x80x99 benefits and usage.Required experience and qualifications:xc2xb7 Wide experience with Kubernetes.xc2xb7 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).xc2xb7 Good understanding of ML and AI concepts. Hands-on experience in ML model development.xc2xb7 Proficiency in Python used both for ML and automation tasks. Good knowledge of Bash and Unix command line toolkit.xc2xb7 Experience in CI/CD/CT pipelines implementation.xc2xb7 Experience with cloud platforms - preferably AWS - would be an advantage.

Cognizant

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Job Detail

  • Job Id
    JD3557386
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Hyderabad, Telangana, India
  • Education
    Not mentioned
  • Experience
    Year
 
 
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