Industrial Optimization ML Engineer

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

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.