Avenga is an international engineering firm helping businesses operate with AI at the core. With 6,000+ experts worldwide, we combine engineering expertise with AI-native thinking to turn ambitious ideas into real-world impact across industries, technologies, and markets.
At the core of the role
We are looking for a Senior Machine Learning Engineer to join our team and work on developing accurate models of industrial equipment and system behavior.
You will work with both experimental and observational data, iterating on ML approaches, evaluating results, and helping turn successful experiments into production-ready solutions.
Core skills you’ll bring
Strong experience in Machine Learning / Deep Learning and practical model development.
Experience working with real-world datasets, including data preprocessing and harmonization.
Solid understanding of deep learning architectures and the ability to adapt existing models to specific use cases.
Experience designing and evaluating ML experiments.
Strong Python and software engineering skills.
Nice-to-have:
Experience with A/B testing and experimentation.
Experience with recommender systems or related ML domains.
Experience in industrial software, industrial engineering, or industrial applications.
The impact you'll create
Preprocess, clean, harmonize, and prepare datasets for machine learning models.
Select, adapt, and potentially combine existing deep learning architectures to meet project goals.
Develop the necessary supporting infrastructure and integration (“glue”) around ML models.
Leverage LLMs to accelerate development and implementation where appropriate, including supervising LLM-generated solutions.
Design and run experiments to evaluate model performance and identify the most effective approaches.
Document experiments, results, and learnings to support decision-making and define the final production solution.
Collaborate with engineering and domain experts to translate industrial requirements into effective ML solutions.
People are at the core of Avenga. We provide equal opportunities regardless of race, ethnicity, gender identity, sexual orientation, disability, age, religion, or any other characteristic. We are committed to a respectful environment where everyone can be themselves, share their ideas, and feel that they belong.