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    Senior Machine Learning Engineer-19395 - delhi, India - Gemraj Technologies Ltd

    Gemraj Technologies Ltd
    Gemraj Technologies Ltd delhi, India

    3 hours ago

    Default job background
    Description
    Senior Machine Learning Operations Engineer-19395

    Engagement type:
    Full-Time

    Engagement length: 6- 12 Months

    Max


    notice period:
    2 weeks

    Location:
    India


    Project location:
    United States (US)

    Project timezone:
    UTC-8:00 America/Los_Angeles- NIGHT SHIFT

    Overlap hours: 4 hrs/day


    Requirements -Skillset:
    Natural Language Processing (NLP) - 3 Years,
    Tensorflow - 1 Year,
    PyTorch - 1 Year,
    Pandas - 1 Year,
    Scipy - 1 Year,
    Numpy - 1Year

    Job Summary:
    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 production-ready 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 high-performance, multi-tenant deployment architectures and sophisticated
    model monitoring systems.

    • Directly engage with internal stakeholders to incorporate feedback and refine our
    ML-driven 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 transformer-based models and NLP, preferably in a healthcare context.
    • Strong track record of fine-tuning, running large-scale 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 non-relational 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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