Senior Operations Research Engineer

🔥 0 minutes ago

🌐 Bulgaria, Egypt – Remote

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⏰ Full Time

🟠 Senior

📚 Research Engineer

👻 Ghost score 10%

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Logo of Avenga

Avenga

5001 - 10000 employees

💼 Consulting

🏭 Manufacturing

🏥 Healthcare

💰 Private equity on 2017-02

Consulting • Manufacturing • Healthcare

Avenga is an international technology and software engineering company that combines consulting, product development, and digital transformation services to help enterprises solve complex business and societal challenges. With over 6,000 professionals across multiple countries and decades of experience, Avenga delivers custom software, cloud, and integration solutions while supporting clients across industries and providing talent acquisition and career development services internally.

📋 Description

• Design and implement mathematical optimization models for complex industrial problems • Develop algorithms for planning, scheduling, routing, allocation, and decision support • Collaborate with machine learning engineers to combine optimization techniques with AI solutions • Build scalable optimization pipelines using Python and modern software engineering practices • Validate optimization models through simulation and experimentation • Analyze algorithm performance and continuously improve solution quality and computational efficiency • Work closely with cross-functional teams to understand business objectives and translate them into mathematical models • Document approaches, assumptions, and experimental results to support 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 optimization techniques such as linear programming, mixed-integer programming, constraint programming, nonlinear optimization, or heuristic/metaheuristic algorithms • Experience translating business problems into mathematical optimization models • Strong Python programming skills • Experience with LLMs • Ability to combine optimization workflows with LLM automation • Experience building production-quality software rather than research prototypes only • Experience working with large datasets and developing efficient optimization workflows • Strong analytical thinking and problem-solving skills • Ability to work independently in an R&D environment with evolving requirements • Good communication skills and fluent English • Experience with machine learning or AI-assisted optimization is nice to have • Experience with simulation, stochastic optimization, agent-based modeling, or Markov models is nice to have • Knowledge of high-performance computing (HPC) is nice to have • Experience with cloud platforms and distributed computing is nice to have • Experience with industrial optimization problems such as logistics, manufacturing, energy, robotics, or supply chain is nice to have

🏖️ Benefits

• Private health insurance • Well-being programs • Flexible and hybrid work models • Laptops and gear • Training • Language classes • Social events • Great offices • Equal opportunities in recruitment, career development, and leadership

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