Machine Learning Engineer

3 weeks ago


Toronto, Canada Pentavere Full time

Machine Learning Engineer

(Permanent, Full-time)


About you:

You've always been passionate about leveraging technology to solve real-world problems,

particularly in healthcare, with a deep fascination for AI and machine learning, especially in

areas like natural language processing and large language models. This interest shaped your

career in machine learning and software engineering, where you've gained valuable

experience in developing and deploying production-grade ML solutions.

Now seeking the next step in your career, you bring technical expertise, problem-solving

skills, and meticulous attention to detail, taking pride in producing high-quality code that

drives improvements in patient care. You're excited to explore cutting-edge ML frameworks

and LLM technologies while working with a collaborative team that values innovation, and

you're ready to make your mark in shaping the future of AI in healthcare.

If this is you, then it is time to make a bold move and leave your mark


About Us:

PENTAVERE (a HEALWELL AI™ company) is a leading healthcare technology company focused

on patient identification leveraging AI and data science.

Our Mission is to improve healthcare and save lives through the early identification and

detection of disease.

Our breakthrough DARWEN™ AI platform dramatically accelerates time to discovery of

insights buried in the structured and unstructured clinical text and documents within

electronic health records. By unlocking the power of real-world data, Pentavere’s DARWEN™

AI platform allows clinicians, researchers, and healthcare organizations to rapidly

understand the patient experience through time and at scale, to ensure every patient

receives the best preventative care.


The Role:

We're seeking a creative and collaborative Machine Learning Engineer to join our team in

building innovative healthcare AI solutions. This role combines deep technical expertise in

machine learning with strong software engineering fundamentals to develop and deploy AI

applications that directly impact patient care and clinical workflows.We value individuals who can combine technical excellence with creativity, and who are

passionate about solving complex problems in healthcare through AI innovation. The ideal

candidate will demonstrate both strong technical capabilities and a genuine interest in

healthcare applications.


In this role you will:

  • Design and implement cutting-edge medical AI applications with focus on LLM-based solutions
  • Build and maintain production-grade ML systems for healthcare technology
  • Create and optimize text summarization workflows and automated analysis systems
  • Contribute to R&D initiatives, including research implementation and comparative analysis
  • Implement systematic evaluation methods for model performance and pipeline monitoring
  • Support technical decision-making and establish best practices for AI development
  • Help identify and implement AI integrations that improve patient care Impact & Growth Opportunities:
  • Contribute to innovative healthcare solutions that improve patient outcomes
  • Help establish and follow technical standards for AI in healthcare
  • Support transformation of clinical workflows through AI innovation
  • Continuous learning opportunities in healthcare AI technology
  • Build solutions that directly impact patient care


Your Mindset & Approach:

  • Creative problem-solver who can balance innovation with practical implementation focus
  • Curious and open-minded approach with drive to explore and evaluate new technologies
  • Strong interest in understanding user needs and technical requirements
  • Detail-oriented with strong emphasis on code quality and testing
  • Collaborative team player who values knowledge sharing
  • Excellent written and verbal communication skillsYour Technical Skills:
  • Strong software engineering fundamentals with experience in building production-grade systems
  • Deep understanding of machine learning, particularly in NLP and large languagemodels
  • Experience with LLM implementation and testing workflows
  • Hands-on experience with modern ML frameworks (transformers, PyTorch) and MLOps practices
  • Proficiency in Python and related ML/data science libraries
  • Experience with containerization and microservices
  • Understanding of CI/CD principles


Your Experience:

  • Experience in machine learning engineering or software engineering roles
  • Track record of implementing ML solutions in production environments
  • Experience with the full ML lifecycle, from data preparation to deployment
  • Experience with monitoring and logging systems
  • Background in working with structured and unstructured data


What makes you stand out:

  • Contributions to open-source ML projects or research publications
  • Experience in healthcare or medical domains
  • Background in building LLM-based applications
  • GPU optimization expertise
  • Familiarity with distributed systems


If the idea of working for a disruptive AI company to improve healthcare is the type of

opportunity you have been waiting for, please apply on LinkedIn with your Resume/CV.



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