MLOps Engineer
Motion Recruitment
Date: 3 days ago
Contract type: Full time
Remote
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
Posted By: Cara Tian
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)
- 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.
- $115K - $140K
- Comprehensive MDV
- 3 weeks vacation
- Remote work
Posted By: Cara Tian
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