Machine Learning Engineer

July 30

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Description

• 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

• Requires prior development experience with R, Python, Java or other analytics/data mining tools, databases, and computer programming. • Practical 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, text 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. • Extensive data modeling and data architecture skills • Background in machine learning frameworks such as TensorFlow or Keras • Knowledge of Cloud Computing or another distributed computing system • Strong written and verbal communications • English C1 or above is required.

Benefits

• Contractor model • 100% remote • Salary in USD • Paid Vacations • Day off for birthdays • Benefits courses and/or certifications • Work on leading projects for our US customers, and not on the bench