MLOps Engineer

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, Google Cloud Platform) 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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