We are seeking a talented Machine Learning Architect to join long-term initiative project on creating a unified platform for managing promotions in real time for a major Canadian retailer.

This role involves leading the architecture, development, and deployment of optimization and machine learning models to enhance pricing strategies and promotional decision-making, all while collaborating closely with data scientists, engineers, and business stakeholders.

Machine Learning Architect

Your responsibilities

• Lead the development and deployment of pricing optimization models using frameworks like OR-Tools, Pyomo, or Gurobi.
• Design and implement data pipelines for insights and optimization.
• Collaborate with data scientists and business stakeholders to align pricing strategies.
• Utilize advanced algorithms (MIP, LP, CP-SAT) for pricing decisions.
• Conduct experiments to enhance price prediction accuracy.
• Build scalable ML architectures on cloud platforms (Google Cloud, AWS).
• Mentor junior engineers and data scientists.
• Participate in sprint planning and coordinate projects.
• Ensure model interpretability and integration with business processes.

Our requirements

• Advanced Degree (Ph.D. or Master’s) in a relevant field.
• 5+ years in machine learning/data science, with 3+ years in price optimization.
• Proficiency in Python and experience with ML libraries (PyTorch, Scikit-learn).
• Strong knowledge of data processing tools (Apache Spark, Pandas).
• Experience with cloud platforms (Google Cloud).
• Understanding of optimization algorithms (LP, MIP).
• Proven experience in building pricing models.
• Strong leadership and mentorship skills.
• Expertise in generative AI for pricing solutions.
• Experience aligning AI strategies with business goals.
• Background in large-scale pricing initiatives.
• Contributions to research or presentations at ML conferences.
• Skills in microservices and tools like FastAPI or Docker.

What we offer

• Opportunity to work on bleeding-edge projects
• Work with a highly motivated and dedicated team
• Competitive salary
• Flexible schedule
• Benefits package - medical insurance, sports
• Corporate social events
• Professional development opportunities
• Well-equipped office