Machine Learning Specialist

Canada Ancaster - FPS Services

Johnson Electric

The Johnson Electric Group is a global leader in electric motors, actuators, motion subsystems and related electro-mechanical components.

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Join Our Team as a Machine Learning Engineer at Johnson Electric!

Location: Ancaster Ontario Canada (100% onsite)
 

Your Mission, Should You Choose to Accept It:

As our next Machine Learning Engineer, you’ll be at the forefront of developing and deploying cutting-edge machine learning models. Your expertise in computer vision and data analysis will be crucial in driving our success and pushing the boundaries of what’s possible.

Why You’ll Love Working Here:

  • Innovative Environment: Work on cutting-edge technologies and innovative projects that push the boundaries of what’s possible.

  • Professional Growth: Opportunities for continuous learning and professional development through training programs and workshops.

  • Collaborative Culture: A supportive and collaborative work environment where teamwork and knowledge sharing are encouraged.

  • Innovation Hubs: Access to state-of-the-art facilities and innovation hubs that foster creativity and development.

  • Mentorship Opportunities: Access to mentorship programs that help you grow both personally and professionally.

  • Global Mobility: Opportunities for international assignments and transfers to broaden your career horizons.

What You’ll Be Doing:

  • Collaborate with engineering and automation teams on machine learning models.

  • Annotate, train, test, iterate, and monitor computer vision models.

  • Deploy computer vision models into production.

  • Analyze production data using statistical and machine learning methods.

  • Develop production-ready code.

  • Document and standardize machine learning processes.

  • Research to improve automated machinery.

What We’re Looking For:

  • Bachelor’s degree in Computer Science, Computer Engineering, Machine Learning, or Statistics, or equivalent experience.

  • 3+ years of experience in applied machine learning and data analysis.

  • Strong knowledge of Python and related libraries.

  • Proficiency in ML frameworks like TensorFlow and PyTorch.

  • Experience in deep learning, computer vision, and object detection.

Bonus Points If You Have:

  • Advanced degree in a relevant field.

  • Experience with cloud platforms (Azure, AWS), Docker, and Kubernetes.

  • Familiarity with image acquisition and processing.

How to Apply:

Apply online at www.johnsonelectric.com - We can’t wait to meet you!

What We Offer:

Johnson Electric offers talented people like you the opportunity to grow professionally and personally, surrounded by some of the most dedicated, innovative, and entrepreneurial colleagues you will find anywhere. Of course, we offer competitive pay and benefits, and far more than that, we offer you a culture driven by our values and designed to ensure that our most important asset—our people—can flourish.

Come join our global, inclusive & diverse team


Our purpose is to improve the quality of life of everyone we touch through our innovative motion systems. We are a truly global team bound together by our shared values. Our culture is built on the diversity, knowledge, skills, creativity, and talents that each employee brings to the company. Our people are our company’s most valuable asset. We are committed to providing an inclusive, diverse and equitable workplace where employees of different backgrounds feel valued and respected, regardless of their age, gender, race, ethnicity or religious background. We are committed to inspiring our employees to grow, act with ownership and find fulfilment and meaning in the work they do.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: AWS Azure Computer Science Computer Vision Data analysis Deep Learning Docker Engineering Kubernetes Machine Learning ML models Python PyTorch Research Statistics TensorFlow

Perks/benefits: Career development Competitive pay Salary bonus

Region: North America
Country: Canada

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