ML Ops Data Scientist for Logistics AI – Remote in Montréal

ML Ops Data Scientist for Logistics AI – Remote in Montréal

Montréal Full-Time 121500 - 148500 $ / year (est.) Hybrid
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At a Glance

  • Tasks: Develop advanced ML applications and enhance logistics efficiency using AI.
  • Company: Leading logistics firm in Montreal with a focus on innovation.
  • Benefits: Competitive salary, flexible work options, and great benefits.
  • Other info: Exciting opportunity for career growth in a fast-paced environment.
  • Why this job: Join a dynamic team and make a real impact in the logistics industry.
  • Qualifications: Master's degree and 3+ years in ML Ops and Data Science required.

The predicted salary is between 121500 - 148500 $ per year.

A leading logistics firm in Montreal is seeking an intermediate-level Data Scientist to innovate within the field of AI and machine learning.

This role involves developing advanced ML applications, leveraging AWS for deployment, and enhancing efficiency in logistics operations.

The ideal candidate has a Master's degree and 3+ years of experience in ML Ops and Data Science, with strong coding skills in Java and Python.

Competitive benefits and flexible work options are offered. #J-18808-Ljbffr

ML Ops Data Scientist for Logistics AI – Remote in Montréal employer: Toparo

Join a forward-thinking, remote-first company based in Montreal that is at the forefront of revolutionizing the crypto space with innovative SaaS solutions. As an employer, they offer a dynamic work culture that prioritizes collaboration, continuous learning, and meaningful contributions, alongside competitive salaries and comprehensive benefits. With ample opportunities for professional growth and the chance to lead a talented engineering team on impactful projects, this company is an excellent choice for those looking to make a significant mark in the tech industry.

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Contact Details:

Toparo Recruitment Team

We think you need these skills to ace ML Ops Data Scientist for Logistics AI – Remote in Montréal

Machine Learning
AWS
Data Science
Java
Python
ML Ops
Advanced ML Applications