
5001 - 10000 employees
💼 Consulting
🏭 Manufacturing
🏥 Healthcare
💰 Private equity on 2017-02
Consulting • Manufacturing • 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.
🔥 43 minutes ago
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5001 - 10000 employees
💼 Consulting
🏭 Manufacturing
🏥 Healthcare
💰 Private equity on 2017-02
Consulting • Manufacturing • 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.
• Develop stochastic modeling and optimization approaches for real-world industrial systems • Help create statistical models of individual machine behaviors based on sensor data and experimentation • Design and evaluate developed models • Link individual machine models together to optimize whole industrial systems • Translate complex physical processes into mathematical or computational models • Propose optimization techniques • Collaborate with the team on modeling industrial systems • Contribute to architectural decisions, code reviews, and engineering best practices
• 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 a general-purpose programming language such as Python or C/C++ • Experience in industrial optimization, such as industrial engineering, chemical engineering, or systems engineering, 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 • Proficiency in machine learning, operations research, or high-performance computing frameworks and libraries is nice to have • Deep understanding of stochastic modeling or combinatorial optimization methods is nice to have • Familiarity with machine learning data science tools such as Vertex AI, OpenAI Platform, or Anthropic Console is nice to have • Familiarity with Bayesian optimization and stochastic processes is nice to have • Understanding of simulation techniques such as discrete event simulation, agent-based modeling, or Markov Chain modeling is nice to have
• Equal opportunities in recruitment, career development, and leadership • Inclusive and diverse work environment • Remote work arrangement
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