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As an AI Scientist, you’ll have the opportunity to research innovative solutions in artificial intelligence (AI) for smart infrastructure, develop proofs of concept, and contribute to defining tomorrow’s infrastructure. Our team targets a variety of AI-related research fields, including LLMs, copilots and assistants, surrogate functions, combinatorial optimization, etc.
Job Responsibility:
Research AI/ML models and algorithms, combinatorial optimization problems
Develop proofs of concept using AI
Propose or adapt, develop and tests AI/ML algorithms and models using accepted best practices
Analyze user challenges, workflows and use cases
Keep yourself up to date with the relevant research and scientific literature
Provide a technological watch over various areas of AI/ML
Prepare reports and presentations on results
Present results to peers, internal stakeholders and users
Requirements:
MSc or PhD in machine learning or a related field
At least 2 years of experience doing research and development in machine learning - including deep learning and advanced techniques
Experience with Large Language Models and copilot systems
Experience in practical machine learning applications and development
Ability to develop innovative solutions in artificial intelligence to resolve concrete and complex challenges
Programming experience with tools such as: Python, PyTorch, Scikit-learn, LangChain, DSPy
Experience with major cloud providers (Microsoft Azure, Amazon AWS, ElasticSearch, etc.)
Nice to have:
Experience with solving combinatorial optimization problems, a plus
Experience with the development of surrogate functions, a plus
Strong problem-solving capabilities using various technologies
Curious about problems and solutions
Autonomous
Research-oriented
Capacity to research a new topic and to learn quickly