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Machine learning • north bay on
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Machine Learning Team Lead
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DeepRec.aiOntario, Canada, Canada- Full-time
Job Title : Machine Learning Team Lead
Location : Remote (Canada) | Office in Toronto (occasional visits may be required)
Industry : International Logistics
Our client is a leading international logistics company that leverages cutting-edge technology and data-driven solutions to optimize global supply chain operations. With a strong presence in Canada and the USA, the company is expanding its Machine Learning team to drive innovation across pricing models, customer insights, and real-time data analytics.
We are looking for an experienced Machine Learning Team Lead to lead the growth of their ML team over the next few years. Reporting directly to the Director of ML , you will be responsible for leading and mentoring a small team of ML engineers and data scientists while working on high-impact projects that shape the company’s logistics strategies. This is a remote-first role , but occasional visits to our Toronto office may be required.
Key Responsibilities
- Lead and grow a team of machine learning engineers and data scientists, fostering a culture of collaboration and innovation.
- Develop and deploy ML models across various logistics-focused applications, including pricing optimization, customer behavior analytics, and real-time predictive insights.
- Oversee the end-to-end machine learning lifecycle , from data preparation and model training to production deployment and monitoring.
- Implement MLOps best practices , ensuring scalable, efficient, and reproducible ML workflows.
- Work closely with cross-functional teams including Data Engineering, Product, and Business Intelligence to align ML solutions with business objectives.
- Stay up to date with emerging ML technologies , tools, and frameworks to enhance model performance and efficiency.
- Ensure ML models are well-documented, explainable, and aligned with regulatory compliance requirements
Required Skills and Experience
What We Offer
If you are passionate about leading teams, deploying ML solutions at scale, and driving innovation in the logistics industry, we would love to hear from you!