Motion Recruitment | Jobspring | Workbridge

MLOps Engineer

Toronto, ON

100% Remote

Full Time

$115k - $140k


We are looking for an experienced MLOps Engineer in Canada to join a growing startup focused on building a lip-syncing tool to break down language barriers in advertising and the film industry.

Join a high-impact analytics and machine learning team focused on building scalable, data-driven solutions to improve operational efficiency, pricing strategy, and customer intelligence across international logistics and supply chains. This role is ideal for someone who thrives in a fast-paced, data-rich environment and is passionate about solving complex business problems using advanced modeling and analytics.

Required Skills and Experience:

  • 3+ years of experience in data science, machine learning, or applied statistics
  • Proficiency in Python and common ML libraries (e.g., scikit-learn, XGBoost, PyTorch/TensorFlow)

  • Experience with cloud platforms (e.g., AWS, GCP) and ML Ops tools

  • Solid grasp of SQL and data manipulation in large datasets (Spark, BigQuery, or similar)

  • Strong understanding of statistical modeling, time series forecasting, and/or optimization algorithms

  • Prior work with pricing models, logistics, or real-time analytics is a strong plus

  • Excellent communication skills and ability to translate business needs into technical solutions

  • Degree in Computer Science, Statistics, Engineering, or related field (graduate degree preferred)
??????????????What you will be doing:
  • Develop and deploy predictive models for pricing, demand forecasting, and route optimization using large-scale, real-time data.

  • Analyze customer behavior patterns to drive retention, segmentation strategies, and lifetime value prediction.

  • Design and implement scalable data pipelines and production-ready ML systems in collaboration with data engineering teams.

  • Conduct A/B testing and causal inference to evaluate model impact and guide strategic decision-making.

  • Collaborate cross-functionally with product, operations, and engineering teams to identify opportunities for automation and efficiency.

  • Continuously monitor model performance, retrain as needed, and ensure alignment with evolving business objectives.

  • Contribute to building a robust ML platform, including best practices, documentation, and reusable components.
The Offer:
  • $115K - $140K
  • Comprehensive MDV
  • 3 weeks vacation
  • Remote work
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#LI-CT2

Posted by: Cara Tian

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