Remote Lead Machine Learning Engineer (Canada Remote)

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Description:

  • Fullscript is seeking a Lead Machine Learning Engineer to join their Data team in a remote capacity in Canada.
  • The role involves leveraging extensive data resources to enhance integrative care and improve healthcare delivery.
  • The engineer will work closely with Data, Engineering, and Product teams to develop the best integrative care platform.
  • Responsibilities include designing, developing, and implementing machine learning models and algorithms to solve complex problems.
  • The position requires providing guidance on opportunities to apply AI/ML for improving practitioner workflows and patient care.

Requirements:

  • Candidates must have 5+ years of experience as a Machine Learning Engineer or in a similar role, with a proven track record of cross-functional collaboration.
  • Experience with Large Language Models (GPT, Gemini, Claude, etc.) and LLM frameworks (Langchain) is required.
  • A strong understanding of machine learning algorithms, statistical models, and data mining techniques is essential.
  • Proficiency in Python and SQL is necessary.
  • Familiarity with common machine learning tools and libraries such as TensorFlow, PyTorch, and scikit-learn is expected.
  • Excellent communication and collaboration skills are required to convey technical concepts to both technical and non-technical stakeholders.

Benefits:

  • Employees can work from wherever they feel most productive, whether in-office or at home.
  • The company offers Half (Flex) Day Fridays and a flexible paid time off program.
  • Fullscript provides an RRSP match program, stock options, and a custom benefits package that includes medical, dental, and vision coverage with an HSA.
  • Employees receive discounts on Fullscript products for family and friends.
  • There is a training budget and company-wide learning initiatives available.
  • Employee wellness programs are offered, including a no meeting Wednesday policy.
Apply now
Please, let Fullscript know you found this job on RemoteYeah . This helps us grow 🌱.
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