обновлено 7 часов назад
Senior Operations Research Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Operations Research Engineer (AI): Designing mathematical models and scalable optimization algorithms for industrial planning, scheduling, routing, resource allocation, and decision support with an accent on applied mathematics, Python, simulation, and production software engineering. Focus on combining optimization workflows with LLMs and AI solutions, validating models through experimentation, and improving computational efficiency at scale.
Location: Fully remote from Sofia, Cairo, or Ruse
Company
provides global technology services including advisory, enterprise solutions, managed services, product development, and software development.
What you will do
- Design and implement mathematical optimization models for complex industrial problems.
- Develop algorithms for planning, scheduling, routing, resource allocation, and decision support.
- Build scalable Python optimization pipelines using modern software engineering practices.
- Collaborate with software engineers, data scientists, and machine learning specialists to combine optimization with AI solutions.
- Validate models through simulation and experimentation, then improve solution quality and computational efficiency.
- Document approaches, assumptions, and experimental results for knowledge sharing and future development.
Requirements
- MSc or PhD in Operations Research, Applied Mathematics, Industrial Engineering, Computer Science, or another STEM discipline.
- Strong knowledge of linear programming, mixed-integer programming, constraint programming, nonlinear optimization, or heuristic and metaheuristic algorithms.
- Experience translating business problems into mathematical optimization models and developing efficient workflows for large datasets.
- Strong Python programming skills and experience building production-quality software.
- Experience with LLMs and combining optimization workflows with LLM automation.
- Strong analytical, problem-solving, communication, and independent working skills in an R&D environment; fluent English required.
Nice to have
- Experience with machine learning, AI-assisted optimization, simulation, stochastic optimization, agent-based modeling, or Markov models.
- Knowledge of high-performance computing, cloud platforms, or distributed computing.
- Experience with industrial optimization in logistics, manufacturing, energy, robotics, or supply chain.
Culture & Benefits
- Flexible remote and hybrid work models.
- Private health insurance and well-being programs.
- Laptop and work equipment provided.
- Training, language classes, social events, and access to offices.
- Autonomy, trust, assistance, and equal opportunities in recruitment and career development.
Hiring process
- Submit a CV and discuss core skills and career goals during a talent call.
- Complete a technical interview focused on experience, strengths, and approach to work.
- Some roles include a customer interview before the offer.
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