Machine Learning Engineer

hace 2 días

Xico, México Optumus Mdt A tiempo completo

About Optumus Mdt

Optumus Mdt is a leading healthcare technology company that provides staff augmentation services to medical practices and hospitals. Our company prioritizes our team's growth and development, offering opportunities for continued education, skill advancement, and increased compensation.

Job Summary

We are seeking a highly skilled Machine Learning Engineer to join our team. The ideal candidate will be responsible for developing, deploying, and optimizing machine learning models that drive insights and solutions for our healthcare clients.

Key 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 and writing skills
  • Bachelor's degree in Computer Science, Information Systems, Data Analytics, Business Administration, or a related field
  • Prior development experience with R, Python, Java, or other analytics/data mining tools, databases, and computer programming
  • Theoretical fluency and working proficiency in statistical methods such as description and inferential statistics, multivariate regression, clustering, neural networks, predictive modeling, forecasting, machine learning, data mining, and optimization algorithms
  • Prior experience in building and deploying predictive models and other analytic assets
  • Prior experience in SQL/database programming such as stored procedures, functions, temporary tables, parameterization, complex joins, and groupings

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