Senior Operations Research Engineer

This is a fully remote position, open to applicants in Bulgaria, +1 more country.

📋 Description

• Create and implement mathematical optimization models to address intricate industrial challenges.

• Develop algorithms for planning, scheduling, routing, allocation, and decision support systems.

• Collaborate with machine learning engineers to integrate optimization methods with AI solutions.

• Construct scalable optimization pipelines utilizing Python and contemporary software engineering practices.

• Validate optimization models through simulation and experimental methods.

• Evaluate algorithm performance and consistently enhance solution quality and computational efficiency.

• Partner closely with cross-functional teams to grasp business goals and convert them into mathematical models.

• Document methodologies, assumptions, and experimental findings to facilitate knowledge sharing and future advancements.

⛳️ Requirements

• MSc or PhD in Operations Research, Applied Mathematics, Industrial Engineering, Computer Science, or another STEM field.

• In-depth understanding of optimization techniques, including linear programming, mixed-integer programming, constraint programming, nonlinear optimization, and heuristic/metaheuristic algorithms.

• Proven experience in transforming business challenges into mathematical optimization models.

• Proficient programming skills in Python.

• Familiarity with LLMs.

• Capability to merge optimization workflows with LLM automation.

• Experience in developing production-quality software rather than solely research prototypes.

• Background in working with large datasets and creating efficient optimization workflows.

• Strong analytical thinking and problem-solving abilities.

• Capacity to work independently in an R&D environment with changing requirements.

• Excellent communication skills and proficiency in English.

• Experience with machine learning or AI-assisted optimization is a plus.

• Familiarity with simulation, stochastic optimization, agent-based modeling, or Markov models is a plus.

• Knowledge of high-performance computing (HPC) is advantageous.

• Experience with cloud platforms and distributed computing is desirable.

• Experience with industrial optimization issues related to logistics, manufacturing, energy, robotics, or supply chain is beneficial.

🏝️ Benefits

• Private health insurance.

• Well-being initiatives.

• Flexible and hybrid work arrangements.

• Provision of laptops and equipment.

• Training opportunities.

• Language courses.

• Social events.

• Modern office environments.

• Commitment to equal opportunities in recruitment, career growth, and leadership.