Machine Learning Solutions Architect

3 weeks ago

Odhav, India AGS Health Full time

Job Title: Lead – Machine Learning EngineerPosition Overview: We are looking for Lead Machine Learning for our research team to build best-in-class AI/ML solutions in healthcare and revenue cycle management space. As a Machine Learning Lead, you will play a critical role in developing and implementing machine learning models and solutions to drive efficiencies, reduce errors, and enhance the overall performance of our healthcare RCM services. You will lead a team of data scientists and engineers, working closely with cross-functional teams to deliver actionable insights and measurable results.Key Responsibilities:Engage with business and product teams to identify and flesh-out ML use-casesResponsible for identifying needs, ingestion, quality and value evaluation, distillation & analysis of both structured and unstructured data from multiple sourcesResearching solutions to overcome machine learning challengesManaging and mentoring a team of ML engineers – work allocation and planning, problem solving, tactical problem solving and thought leadershipLeading development and optimization of machine learning and deep learning models Customizing models and build on top of existing framework to address client specific requirementsCreating assets to fast-track solution developmentStaying informed about latest developments in Data Science / AI fieldQualifications:Advanced degree or Master’s degree in machine learning/data science/computer science or a related fieldProven experience (8 - 10 years) in developing and deploying machine learning models in a healthcare or RCM settingStrong programming skills in languages like Python or RExperience with machine learning libraries and frameworks (e.G., TensorFlow, PyTorch, scikit-learn)Deep understanding of healthcare data and industry-specific challengesStrong problem-solving and analytical abilitiesExcellent leadership and team management skillsEffective communication and stakeholder management skillsExperience in MLOps, containerization, CI/CD pipeline is a plus

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