Machine Learning Architect Lead

1 tydzień temu

Warszawa, Mazovia, Polska Grid Dynamics Poland Sp. z o.o. Pełny etat

We are seeking a seasoned Machine Learning Architect to join our 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.

Key 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.

Compensation:

The estimated annual salary for this position is around $120,000 - $180,000, depending on experience and qualifications.

Benefits:

  • Opportunity to work on bleeding-edge projects
  • Work with a highly motivated and dedicated team
  • Flexible schedule
  • Competitive benefits package
  • Professional development opportunities

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