
5001 - 10000 employees
đŒ Consulting
đ Manufacturing
đ„ Healthcare
đ° Private equity on 2017-02
Consulting âą Manufacturing âą 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.
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5001 - 10000 employees
đŒ Consulting
đ Manufacturing
đ„ Healthcare
đ° Private equity on 2017-02
Consulting âą Manufacturing âą 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.
âą Develop accurate machine learning models of industrial equipment and system behavior âą Preprocess, clean, harmonize, and prepare datasets for machine learning models âą Select, adapt, and potentially combine existing deep learning architectures to meet project goals âą Develop supporting infrastructure and integration around ML models âą Leverage LLMs to accelerate development and implementation where appropriate, including supervising LLM-generated solutions âą Design and run experiments to evaluate model performance and identify effective approaches âą Document experiments, results, and learnings to support decision-making and define the final production solution âą Collaborate with engineering and domain experts to translate industrial requirements into effective ML solutions
âą Strong experience in Machine Learning / Deep Learning and practical model development âą Experience working with real-world datasets, including data preprocessing and harmonization âą Solid understanding of deep learning architectures and ability to adapt existing models to specific use cases âą Experience designing and evaluating ML experiments âą Strong Python and software engineering skills âą Nice-to-have: Experience with A/B testing and experimentation âą Nice-to-have: Experience with recommender systems or related ML domains âą Nice-to-have: Experience in industrial software, industrial engineering, or industrial applications
âą Equal opportunities in recruitment, career development, and leadership âą Diverse and inclusive work environment
Apply Nowđ July 30
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