GM INFOTECH
Location
Mumbai | India
Job description
Job Description :Essential 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 cross-functional teams to identify healthcare data and analytics requirements, and design and implement data-driven 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 effortsRole Specifications :Qualifications : Bachelors or Masters degree in Computer Science, Data Science, Mathematics, or EngineeringExperience : Minimum 4 years of Industry work experienceSkill 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 problem-solving skills, with the ability to identify and solve complex technical problems in the healthcare domain (ref:hirist.tech)
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