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    Machine Learning Engineer - Delhi, India - Edstem Technologies

    Edstem Technologies
    Edstem Technologies Delhi, India

    3 weeks ago

    Default job background
    Description
    Machine Learning Engineer (AI-Based Product Development).


    Roles :

    We are looking for ML Engineers for an AI based product development for one of our clients in the banking industry.

    As a Machine Learning Engineer, you will collaborate with colleagues to bring AI-driven solutions to life, assisting in the productionization of machine learning models and ensuring their effective deployment in a production environment.


    Responsibilities :

    • Understand the requirements and needs of business stakeholders, building strong relationships, and identifying how AI and machine learning solutions can support our business strategy.
    • Support the productionization of machine learning models, including pipeline design, development, testing, and deployment, ensuring the original intent is preserved in the production environment.
    • Contribute to frameworks for robust monitoring of machine learning models within a production environment, ensuring they deliver quality and performance.
    • We'll rely on your experience in constructing, testing, maintaining, and deploying machine learning models into a production setting.
    • This involves utilizing contemporary CI/CD tools such as Git, AWS, AWS Sagemaker, Docker, Terraform, Cloud Formation, Kubernetes, PyTorch, TensorFlow, Jax, Numpy, Scikitlearn, and other related technologies.

    Qualifications :

    • Minimum 5+ years of relevant experience as a Machine Learning Engineer.
    • Proficiency in machine learning approaches and algorithms, including timeseries forecasting, classification, regression, large language models, and generative AI.
    • Strong programming and scripting skills, particularly in Python, are essential.
    • Basic knowledge of the financial services industry and the ability to identify wider business impact and risk opportunities is preferred.
    Exp : 5 to 7 years.


    Location :
    Remote

    )
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