Machine Learning Team Lead

DeepRec.ai; Ontario; Remote; CAD 120,000 - 150,000; Full time

Job summary

A leading international logistics company is seeking a Machine Learning Team Lead to spearhead their ML initiatives. This remote-first position involves mentoring a team, developing ML models, and collaborating with cross-functional teams to drive innovation in logistics. The ideal candidate will have extensive experience in machine learning and a passion for leading teams in a dynamic environment.

Benefits

Competitive salary & benefits package

Fully remote role

Opportunity to lead a growing ML team

Access to cutting-edge technology

Collaborative company culture

Qualifications

• 5+ years in machine learning, 1+ year in leadership.
• Experience in deploying ML models in cloud environments.

Responsibilities

• Lead and grow a team of ML engineers and data scientists.
• Develop and deploy ML models for logistics applications.
• Implement MLOps best practices for ML workflows.

Skills

Python

TensorFlow

PyTorch

Scikit-learn

MLOps

Communication

Tools

AWS

GCP

Azure

Spark

Airflow

dbt

Job description

Job Title : Machine Learning Team LeadLocation : Remote (Canada) | Office in Toronto (occasional visits may be required)Industry : International LogisticsOur 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 ResponsibilitiesLead 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 requirementsRequired Skills and Experience5+ years of hands-on experience in machine learning, with at least 1+ years in a leadership role.Strong proficiency in Python, TensorFlow, PyTorch, Scikit-learn, and other ML frameworks.Experience deploying ML models in cloud environments (AWS, GCP, or Azure).Expertise in MLOps principles including CI / CD for ML, model versioning, monitoring, and automated retraining.Strong experience in data processing pipelines and feature engineering using tools such as Spark, Airflow, or dbt.Familiarity with real-time analytics and predictive modeling.Experience working in the logistics, transportation, or supply chain industry is a plus.Excellent communication skills with the ability to translate complex ML solutions into business impactWhat We OfferCompetitive salary & benefits package.Fully remote role with occasional office visits to Toronto.Opportunity to build and lead a growing ML team in a global logistics company.Access to cutting-edge technology and data-driven projects with real-world impact.A collaborative and innovative company culture that values continuous learning and growth.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!

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