Machine Learning Engineer

3 weeks ago


SaintBrunodeMontarville, Quebec, Canada ISAAC Instruments Full time

Shape the Future of Transportation with ISAAC Instruments

ISAAC Instruments is a leading provider of fleet management solutions, expanding its reach into the dynamic US transportation market. We're seeking a talented Machine Learning Engineer to join our Data & AI team and contribute to cutting-edge projects in cloud infrastructure and artificial intelligence.

Your Role:

  • Develop and maintain production-ready machine learning models, ensuring seamless integration into our existing data platform.
  • Optimize model performance through continuous monitoring, retraining pipelines, and scalability enhancements.
  • Translate complex models into user-friendly applications, making AI insights accessible to a wider audience.
  • Design and implement robust data science infrastructure to streamline the entire machine learning development lifecycle.
  • Collaborate with data scientists, cloud architects, and engineers to architect, develop, and deploy ML features within production systems.
  • Explore innovative approaches for processing high-volume, continuous data streams in real-time inference environments.
  • Establish best practices for code, APIs, and system architecture, serving as a foundation for future AI development.
  • Propose and implement the most suitable tools (languages, libraries, frameworks) to ensure project success.
  • Contribute to a collaborative team environment, working closely with data science experts, analysts, and engineers across various disciplines.

What We Offer:

At ISAAC Instruments, we value our employees and foster a culture of innovation and collaboration. You'll have the opportunity to:

  • Contribute to impactful projects that shape the future of transportation technology.
  • Work in a dynamic and stimulating environment where your ideas are valued.
  • Collaborate with talented and passionate individuals who share your commitment to excellence.
  • Benefit from competitive salaries, comprehensive benefits packages, and opportunities for professional growth.


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