Optimization ML Specialist

Avenga; Turkey; On-site; TRY 350,000 - 550,000; Full time

Job summary

Avenga is seeking an Optimization ML Specialist to join our client’s team focused on modeling and optimizing complex industrial systems. You will develop stochastic models of machine behavior from sensor data and experiments, and connect them to optimize whole production lines.

The role emphasizes translating physical processes into mathematical abstractions, designing and evaluating models, and collaborating with engineers to implement scalable solutions.

Qualifications

• Degree in a STEM field with strong interest in machine learning.
• Experience translating physical processes into mathematical abstractions.
• Proven ability to model and optimize complex systems.

Responsibilities

• Develop stochastic models of industrial systems using sensor data and experiments.
• Propose and design optimization techniques for real-world processes.
• Design, evaluate and refine the developed models.
• Link individual machine models to optimize whole industrial systems.
• Collaborate with the team on architectural decisions and best practices.

Skills

Python

C/C++

Machine learning

Optimization

Statistical modeling

Education

Operations research

Applied mathematics

Industrial process engineering

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 are looking for an Optimization ML Specialist to join our client's team focused on modeling and optimizing complex industrial systems.

As the team dives deeper into modeling industrial systems, we need someone who can help create statistical models of individual machine behaviors based on sensor data and experimentation. The eventual goal is to link these models together to allow optimization of whole industrial systems.

You will develop stochastic modeling and optimization approaches for real-world industrial systems, design and evaluate models, and help translate complex physical processes into mathematical or computational abstractions.

This is you

• Possessing experience or a degree in a STEM field such as operations research, applied mathematics, or industrial process engineering with a strong interest in machine learning.
• Strong experience with one or more general-purpose programming languages such as Python, C/C++.
• Experience in industrial optimization, as in industrial engineering, chemical engineering, or system engineering is desired.
• Experience in scientific computing or building in-silico models for complex physical or industrial systems.
• Ability to translate complex physical processes into mathematical or computational abstractions.

Nice-to-have skills:

• Proficiency in machine learning, operations research, or high-performance computing frameworks and libraries.
• A deep understanding of stochastic modeling or combinatorial optimization methods.
• Familiarity with machine learning data science tools (e.g., Vertex AI, OpenAI Platform, or Anthropic Console).
• Familiarity with Bayesian optimization and stochastic processes.
• Understanding of simulation techniques (e.g., discrete event simulation, agent-based modeling, or Markov Chain modeling).

This is your role

• Help develop statistical models of industrial systems based on sensor data and experimentation.
• Propose optimization techniques — create stochastic modeling and optimization approaches for real-world industrial systems.
• Design and evaluate the developed models.
• Link individual machine models together to allow optimization of whole industrial systems.
• Collaborate with the team to translate complex physical processes into mathematical or computational models.
• Contribute to architectural decisions, code reviews, and engineering best practices.

What awaits you at Avenga?

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.