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    • Machine Learning Engineer - Nellore - Restored Cloud

    Restored Cloud
    Restored Cloud Nellore

    1 week ago

    Default job background
    Description

    Job Title: Machine Learning Engineer - Infrastructure

    We are seeking a skilled Machine Learning Engineer to design and build the tools, frameworks, and systems that enable efficient training, deployment, and scaling of machine learning models. This role involves working on cutting-edge challenges in model optimization, infrastructure automation, and distributed computing to support high-performance AI/ML workflows.

    Key Responsibilities:

    • Develop and maintain ML infrastructure for distributed model training and inference.
    • Implement tools for model versioning, experiment tracking, and automated deployments.
    • Optimize ML pipelines to improve training and inference efficiency at scale.
    • Collaborate with data scientists and engineers to integrate ML workflows with existing systems.
    • Monitor and ensure the reliability, security, and performance of the ML infrastructure.
    • Stay up-to-date with new technologies and adapt to new responsibilities and roles in a fast-paced growing company.

    Requirements:

    • Experience with ML frameworks like TensorFlow, PyTorch, or JAX.
    • Knowledge of MLOps tools such as MLflow, Kubeflow, or Airflow.
    • Proficiency in containerization and orchestration tools (e.g., Docker, Kubernetes).
    • Strong programming skills in Python and familiarity with CI/CD pipelines.
    • Understanding of distributed training methods and hardware acceleration (e.g., GPUs, TPUs).
    • Experience with Large Language Models (LLMs) and models over 10B parameters.
    • 5+ years of experience in Machine Learning, Systems Engineering, or a related field.
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