.Machine Learning EngineerResume must be submitted in English to be considered.About the JobOptumus is a USA based healthcare technology company that offers staff augmentation services to medical practices and hospitals. At Optumus, we prioritize our team. It is what is most important to us! We are passionate about growth in the company, and all our employees. We offer opportunities that allow our team to reach new levels of professionalism, continued education or skill advancement, in doing so, increasing your compensation. The ideal candidate will be responsible for developing, deploying, and optimizing machine learning models that drive insights and solutions for our healthcare clients. The Machine Learning Engineer will work closely with data scientists, data engineers, and healthcare professionals to ensure that AI and machine learning solutions are effectively integrated into client operations to enhance patient outcomes and operational efficiency.Responsibilities:Model Development: Design, develop, and implement machine learning models and algorithms tailored to healthcare data and client needs.Deployment: Deploy machine learning models into production environments, ensuring scalability, reliability, and performance.Data Preprocessing: Collaborate with data engineers to preprocess and clean data, ensuring high-quality inputs for model training and validation.Performance Monitoring: Monitor model performance and conduct regular maintenance to ensure accuracy and effectiveness over time.Collaboration: Work closely with data scientists, healthcare experts, and client teams to understand requirements and deliver customized solutions.Documentation: Document methodologies, processes, and model configurations to ensure transparency and reproducibility.Innovation: Stay current with the latest research and advancements in machine learning, AI, and healthcare analytics to continuously improve and innovate solutions.Consultation: Provide expert advice and recommendations to clients on the application of machine learning in healthcare settings.Requirements:Intermediate English Speaking/WritingEducation: Bachelor's degree in Computer Science, Information Systems, Data Analytics, Business Administration, or a related field.Experience: Requires prior development experience with R, Python, Java or other analytics/data mining tools, databases, and computer programming.Theoretical fluency and working proficiency in the application of a broad array of statistical methods such as description and inferential statistics, multivariate regression, clustering, neural networks, predictive modeling, forecasting, machine learning, data mining, and optimization algorithms.Requires prior experience in building and deploying predictive models and other analytic assets.Requires prior experience in SQL/Database programming such as stored procedures, functions, temporary tables, parameterization, complex joins, and groupings
