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.

Essential functions

• 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.

Qualifications

• 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.

Would be a plus

• 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.

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

About us

Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.