Senior Operations Research Engineer – Machine Learning

Avenga; Turkey; On-site; TRY 320,000 - 700,000; Full time

Job summary

Avenga is seeking a Senior Operations Research Engineer – Machine Learning to solve complex industrial optimization challenges using mathematical modeling, simulation, and ML techniques. You will build statistical and computational models from sensor data to enable intelligent optimization across interconnected processes.

You will design and evaluate optimization algorithms, translate physical systems into scalable models, and collaborate with multidisciplinary teams to define architectural

Qualifications

• Degree or professional experience in Operations Research, Applied Mathematics, Industrial Engineering, Chemical Engineering, Systems Engineering, or another STEM discipline.
• Strong programming skills in Python, C++, or C.
• Experience with scientific computing, optimization, or computational modeling of complex systems.
• Experience developing mathematical or statistical models for industrial or physical processes.
• Ability to translate engineering or physical systems into computational models.
• Strong analytical thinking and problem-solving skills.
• Upper-Intermediate (B2) or higher level of English.

Responsibilities

• Develop statistical and computational models of industrial systems using experimental and sensor data.
• Design optimization algorithms for complex engineering and manufacturing processes.
• Build stochastic models that accurately represent real-world industrial behavior.
• Evaluate, validate, and continuously improve optimization models.
• Connect individual machine models into system-level optimization frameworks.
• Collaborate with multidisciplinary engineering teams to transform physical processes into mathematical models.
• Contribute to architectural discussions, technical design, and engineering best practices.

Skills

Operations Research

Applied Mathematics

Industrial Engineering

Chemical Engineering

Systems Engineering

Python

C++

C

Scientific computing

Optimization

Statistical Modeling

English (B2+)

Education

STEM degree

Tools

Vertex AI

OpenAI Platform

Anthropic

HPC

Discrete Event Simulation

Job description

At Avenga, we believe that human creativity empowers technology that matters. Operating globally, our 6000+ specialists provide a full spectrum of services, including business and tech advisory, enterprise solutions, CX, UX and Ul design, managed services, product development, and software development.

This is the job

We're looking for a Senior Operations Research Engineer – Machine Learning to help solve complex industrial optimization challenges using advanced mathematical modeling, simulation, and machine learning techniques.

In this role, you'll develop statistical and computational models that represent the behavior of industrial systems, enabling intelligent optimization across interconnected processes. Working with real-world sensor data and experimentation, you'll transform complex engineering problems into scalable mathematical solutions that improve operational efficiency and decision-making.

This is you

• Degree or professional experience in Operations Research, Applied Mathematics, Industrial Engineering, Chemical Engineering, Systems Engineering, or another STEM discipline
• Strong programming skills in Python, C++, or C
• Experience with scientific computing, optimization, or computational modeling of complex systems
• Experience developing mathematical or statistical models for industrial or physical processes
• Ability to translate engineering or physical systems into computational models
• Strong analytical thinking and problem-solving skills
• Upper-Intermediate (B2) or higher level of English

Nice to have

• Experience with Machine Learning for optimization problems
• Knowledge of Operations Research, Stochastic Modeling, or Combinatorial Optimization
• Familiarity with Bayesian Optimization
• Experience with simulation methodologies such as Discrete Event Simulation, Agent-Based Modeling, or Markov Chain Models
• Experience using ML platforms such as Vertex AI, OpenAI Platform, or Anthropic
• Familiarity with High-Performance Computing (HPC) frameworks and libraries

This is your role

• Develop statistical and computational models of industrial systems using experimental and sensor data
• Design optimization algorithms for complex engineering and manufacturing processes
• Build stochastic models that accurately represent real-world industrial behavior
• Evaluate, validate, and continuously improve optimization models
• Connect individual machine models into system-level optimization frameworks
• Collaborate with multidisciplinary engineering teams to transform physical processes into mathematical models
• Contribute to architectural discussions, technical design, and engineering best practices

What awaits you at Avenga?

Through our values – Better Minds, Bolder Ideas, and Bigger Hearts – we strive to create a work environment where people feel supported, trusted, and empowered to grow.

You’ll contribute to large-scale AI transformation initiatives, collaborate with experienced architects and engineering leaders, and help define the technical foundation for next‑generation AI, automation, and enterprise solutions delivered across multiple teams.

At Avenga, everyone matters. We provide equal opportunities in recruitment, career development, and leadership, regardless of race, ethnicity, gender identity, sexual orientation, disability, age, religion, or any other characteristic. We are committed to fostering a work environment where our diverse community of employees, candidates, and business partners actively shapes our growth. By bringing together people from different backgrounds and experiences, we build a workplace where everyone feels free to be themselves while honoring the boundaries of others.