TM

MLOPs Engineer

Tech Mahindra

8 months ago

5 - 7 years

Work From Office

Bengaluru, Karnataka, Karnataka, India

  • AWS cloud Experience with ML pipeline tools like MLflow, Kubeflow, or Airflow Experience with containerization (Docker), orchestration (Kubernetes) .
  • Proficiency in Python and hands on experience with ML frameworks .
  • Experience working production grade ML systems Monitor and troubleshoot ML systems to minimize downtime and model drift Location - Bangalore.
  • AWS Cloud

    ML Flow

    PYTHON

    Tensorflow

    Pytorch

    docker

    Kubernetes

    Job description & requirements

    4+ years of experience with experience in AWS cloud Experience with ML pipeline tools like MLflow, Kubeflow, or Airflow Experience with containerization (Docker), orchestration (Kubernetes)


    Proficiency in Python and hands on experience with ML frameworks (e.g., TensorFlow, PyTorch) Experience working production grade ML systems Monitor and troubleshoot ML systems to minimize downtime and model drift Location - Bangalore

    Experience :

    5 - 7 years

    Job Domain/Function :

    Machine Learning

    Job Type :

    Work From Office

    Employment Type :

    Full Time

    Number Of Position(s) :

    10

    Educational Qualifications :

    Bachelor's Degree

    Location :

    Bengaluru, Karnataka, India, Bengaluru, Karnataka, India

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