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    Technical Lead - Mumbai, India - GM INFOTECH

    GM INFOTECH
    GM INFOTECH Mumbai, India

    2 weeks ago

    Default job background
    permanent Technology / Internet
    Description
    Job Description Duties And Responsibilities :

    • Design, develop AI/ML algorithms as well integrate off the shelf models & solutions, that enable assisted disease screening / differential diagnosis for conditions such as anemia, cataract as well as risk prediction for maternal and neonatal mortality etc
    • Build/integrate AI-ML models for treatment of malnutrition, hypertension
    • Build predictive analytics models for Disease risk, enhanced monitoring & evaluation, learning, & clinical decision support
    • Build and maintain data science pipelines and architectures that support efficient and scalable data processing, data analysis, and data modeling of electronic health records (EHRs) and other healthcare data sources
    • Work closely with crossfunctional teams to identify healthcare data and analytics requirements, and design and implement datadriven solutions that address clinical and business needs
    • Evaluate and implement advanced technologies and frameworks that enable efficient and effective development of AI/ML and data science solutions in the healthcare domain
    • Build Data Science & AI/ML team by hiring the right talent & training/coaching
    • Support the CTO to develop clear AI/ML strategy, innovation plans and timelines for execution
    • Develop and maintain best practices and guidelines for data science, AI/ML development, and software engineering in the digital health domain
    • Identify opportunities for automation, optimization and streamlining of data science and AI/ML workflows, and develop tools to support these efforts
    Role Specifications :

    Qualifications : Bachelors or Masters degree in Computer Science, Data Science, Mathematics, or Engineering

    Experience : Minimum 4 years of Industry work experience

    Skill Sets :


    • Strong R or Python skills and experience using standard libraries such as NumPy, Scikitlearn, PyTorch, TensorFlow, Google vertex etc
    • Strong knowledge of data science, machine learning, and AI algorithms, tools and frameworks, including deep learning, computer vision, and statistical analysis. Experience with open source frameworks & auto ML highly preferred.
    • Experience in large language models & natural languages processing is desired.
    • Experience with healthcare data sources such as EHRs and medical images, and familiarity with healthcare standards and protocols such as HL7, FHIR, and DICOM is desirable
    • Experience with image processing algorithms highly preferred
    • Strong communication and collaboration skills, with the ability to work effectively with cross functional teams and healthcare professionals
    • Strong analytical and problemsolving skills, with the ability to identify and solve complex technical problems in the healthcare domain )
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