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Machine Learning Engineer

hace 2 meses

Xico, México Talentus A tiempo completo
About the Role

Talentus is seeking a highly skilled Machine Learning Engineer to join our dynamic team. As a key member of our data science team, you will be responsible for designing, developing, and implementing machine learning models and algorithms tailored to healthcare data and client needs.

Key Responsibilities
  • Model Development: Design, develop, and implement machine learning models and algorithms to analyze and interpret complex healthcare data.
  • 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
  • Domain Expertise: Requires prior development experience with R, Python, Java, or other analytics/data mining tools, databases, and computer programming.
  • Practical Fluency: 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.
  • Background: Background in machine learning frameworks such as TensorFlow or Keras.
  • Cloud Computing: Knowledge of Cloud Computing or another distributed computing system.
  • Communication Skills: Strong written and verbal communications.
  • Education: Advanced degree in computer science, math, statistics, or a related discipline.
  • Agile/Analytics Experience: Experience working in an Agile environment.
What We Offer
  • Contractor Model: 100% remote work arrangement.
  • Salary: Competitive salary in USD.
  • Paid Vacations: Paid time off for relaxation and rejuvenation.
  • Benefits: Opportunities for professional growth and development through courses and certifications.
  • Leading Projects: Work on leading projects for our US customers, not on the bench.