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Senior Machine Learning Engineer - ML Ops Framework

Torc RoboticsRemote - Canada, Montreal, Canada
Remote Full-time CA$199.2K/yr - CA$298.8K/yr

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Experience Level

Senior

Qualifications

To succeed in this role, you should possess:Extensive experience in machine learning and ML Ops frameworks. Proficiency in cloud computing services, particularly AWS. Strong programming skills in Python and familiarity with distributed computing frameworks. Experience with model training, validation, and deployment processes. A passion for innovation and a commitment to advancing autonomous vehicle technologies.

About the job

About Torc Robotics

At Torc Robotics, we are at the forefront of revolutionizing transportation with our autonomous vehicle technology. Since our inception in 2007, we have partnered with leading organizations to commercialize our solutions. Now a proud member of the Daimler family, we focus on developing cutting-edge software for automated trucks, aiming to transform freight movement globally.

Join us at Torc Robotics and elevate your career with a pioneering company in autonomous technology, recognized as the first AV software firm to collaborate directly with truck manufacturers.

Meet The Team:

Our dedicated team empowers machine learning developers across Torc to create advanced autonomous vehicle solutions on a large scale. We oversee the entire ML experimentation lifecycle, from concept creation to model validation and performance comparison, ultimately converting the most effective models into operational truck formats. As we leverage AWS along with Lightning and Ray for distributed ML tasks, we seek a talented Senior ML Engineer to help shape the future of autonomous freight.

About Torc Robotics

Torc Robotics is a leader in the autonomous vehicle sector, committed to developing innovative solutions that enhance transportation and freight movement. With a history of partnership since 2007, Torc Robotics brings together expertise and technology to drive the future of autonomous trucking.

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