Remote ML Ops Data Scientist for Logistics AI

Toparo; Montreal; Hybrid; CAD 80,000 - 100,000; Full time

Job summary

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.

Benefits

Competitive benefits package

5% match on Retirement Savings Plan

Employer-sponsored training opportunities

Qualifications

• 3+ years of hands-on experience in ML Ops & Data Science.
• Deep understanding of machine learning principles.
• Strong mathematical aptitude.

Responsibilities

• Research and implement advanced ML algorithms and tools.
• Develop and deploy machine learning applications.
• Conduct rigorous testing and experimentation.

Skills

Machine Learning Operations

Data Science

Java

Python

AWS Technologies

Education

Master's degree in a relevant field

Tools

Spark

R

Job description

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.