Jobs

    Senior Machine Learning Operations Engineer - Anywhere in India/Multiple Locations - Yo HR Consultancy

    Yo HR Consultancy
    Yo HR Consultancy Anywhere in India/Multiple Locations

    1 week ago

    Default job background
    permanent Technology / Internet
    Description

    Role : Senior Machine Learning Operations Engineer

    Location : Remote

    Contract Duration : 6 Months

    Job Description :

    As a Senior Machine Learning Operations (MLOps) Engineer, you will be instrumental in deploying robust, scalable machine learning solutions. You will ensure these are tailored to meet the expansive needs of a client in healthcare services.

    This role demands a high level of proficiency in machine learning technologies and programming, coupled with rigorous vetting processes to maintain the highest standards of data integrity and security.

    Key Responsibilities :


    • Rapidly develop and deploy productionready ML models, with a focus on scalability and monitoring across a broad range of applications within healthcare.
    • Write efficient, maintainable, and scalable Python code tailored to our specific business needs.
    • Build highperformance, multitenant deployment architectures and sophisticated model monitoring systems.
    • Directly engage with internal stakeholders to incorporate feedback and refine our MLdriven products through quick iteration cycles.
    • Uphold stringent security protocols and processes in the deployment and maintenance of machine learning models.
    • Drive the continuous advancement of MLOps practices within the healthcare industry by developing innovative solutions and advocating for best practices.
    Requirements :


    • Minimum 3 years of experience with transformerbased models and NLP, preferably in a healthcare context.
    • Strong track record of finetuning, running largescale training jobs, and managing model servers like vLLM, TGI, or TorchServe.
    • Proficiency in data science tools such as Pandas, Notebooks, Numpy, Scipy.
    • Experience with both relational and nonrelational databases.
    • Extensive experience with TensorFlow or PyTorch, and familiarity with HuggingFace.
    • Knowledge of model analysis and experimentation frameworks such as MLFlow, W&B, and tfma is preferred.
    • Comfortable with a Linux environment and stringent data security practices.
    • Must pass a rigorous vetting process, including extensive background checks to ensure the highest standards of data security and integrity.
    )
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