Hybrid AI Scientist & Engineer for Enterprise ML in Regina

Hybrid AI Scientist & Engineer for Enterprise ML in Regina

Regina Full-Time 135000 - 165000 $ / year (est.) Hybrid
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At a Glance

  • Tasks: Design, train, and deploy AI models while collaborating with cross-functional teams.
  • Company: Join BDO Canadaโ€™s Assurance Innovation Lab, a leader in AI solutions.
  • Benefits: Enjoy competitive pay, flexible work options, and opportunities for growth.
  • Other info: Dynamic team environment with endless learning opportunities.
  • Why this job: Be at the forefront of AI innovation and make a real impact in business operations.
  • Qualifications: Strong background in data science and software engineering required.

The predicted salary is between 135000 - 165000 $ per year.

BDO Canada is seeking an exceptionally skilled AI Scientist & Engineer for the Assurance Innovation Lab.

This hybrid role bridges advanced data science with enterprise software engineering to deliver scalable AI-enabled solutions across our Assurance practice.

The candidate will design, train, deploy, and monitor ML models and Generative AI workflows, collaborating with AI Architects, ML Engineers, Data Scientists, and cross-functional teams to transform business operations responsibly.

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Hybrid AI Scientist & Engineer for Enterprise ML in Regina employer: BDO Canada

BDO Canada is an excellent employer that fosters a collaborative and innovative work culture, particularly within the Assurance Innovation Lab. Employees benefit from continuous professional development opportunities, a supportive team environment, and the chance to work on cutting-edge AI projects that have a meaningful impact on business operations. Located in a vibrant city, BDO offers a unique blend of work-life balance and career growth, making it an attractive place for those passionate about technology and innovation.

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Contact Details:

BDO Canada Recruitment Team

We think you need these skills to ace Hybrid AI Scientist & Engineer for Enterprise ML in Regina

Machine Learning (ML)
Generative AI
Data Science
Software Engineering
Model Design
Model Training
Model Deployment