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    Sr. ML OPs Engineer - Bangalore, India - Cognizant Technology Solutions

    Cognizant Technology Solutions
    Cognizant Technology Solutions Bangalore, India

    1 week ago

    Default job background
    OTHER
    Description

    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.

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