AI Scientist I
Bentley Systems
Bentley Systems
Lieu — Ville de Québec, Canada
En tant que scientifique en intelligence artificielle (IA), vous aurez l’opportunité de développer des solutions innovantes en IA pour les infrastructures intelligentes, de participer au développement de nouveaux produits basés sur l’IA et de collaborer avec une équipe établie de data scientists. Grâce à son positionnement unique sur le marché, notre équipe s’intéresse à une grande variété de domaines de recherche liés à l’IA, notamment la vision par ordinateur, les modèles graphiques, le traitement du langage naturel, le traitement avancé du signal, l’apprentissage non supervisé et le clustering, l’apprentissage par renforcement, etc.
Responsabilités
- Développer des algorithmes et des modèles d’IA/ML en utilisant les meilleures pratiques reconnues
- Analyser les défis des utilisateurs, les flux de travail et les cas d’usage
- Se tenir à jour des recherches et de la littérature scientifique pertinentes
- Assurer une veille technologique dans différents domaines de l’IA/ML
- Participer à l’acquisition de données à partir de diverses sources
- Analyser l’intégrité et la qualité des données
- Développer des stratégies de nettoyage des données et préparer des jeux de données d’entraînement
- Mesurer la performance et la robustesse des modèles
- Préparer des rapports et des présentations sur les résultats
- Présenter les résultats aux pairs, aux parties prenantes internes et aux utilisateurs
Qualifications
- Licence, Master ou Doctorat en apprentissage automatique ou dans une spécialité connexe
- Au moins 2 ans d’expérience en recherche et développement en apprentissage automatique, incluant le deep learning et les techniques avancées
- Expérience avec les modèles de langage de grande taille (LLM), les systèmes RAG et les copilotes
- Expérience pratique en développement et application de solutions de machine learning
- Capacité à développer des solutions innovantes en intelligence artificielle pour résoudre des problèmes concrets et complexes
- Maîtrise de la programmation et des outils liés à notre domaine, tels que : Python, PyTorch, Scikit-learn, LangChain, LlamaIndex, DSPy, GraphRAG
- Solides compétences en résolution de problèmes à l’aide de diverses technologies
- Capacité à rechercher de nouveaux sujets et à apprendre rapidement
- Une expérience avec les principaux fournisseurs cloud (Microsoft Azure, Amazon AWS, Elasticsearch, etc.) et/ou en MLOps est souhaitée
- Maîtrise de l’anglais
Ce Que Nous Offrons
- Une équipe et une culture formidables – veuillez visionner notre vidéo de recrutement
- Une carrière passionnante au sein d’une entreprise de logiciels de premier plan mondial, fournissant des solutions pour l’architecture, l’ingénierie et la construction
- Un salaire compétitif et des avantages sociaux
- L’opportunité de travailler au sein d’une équipe internationale et diversifiée
- Un environnement de travail collaboratif et bienveillant
- Programme de recommandation des employés
As an AI Scientist you’ll have the opportunity to develop innovative solutions in artificial intelligence (AI) for smart infrastructure, participate in the development of new products based on AI and collaborate with an established team of Data Scientists. By virtue of its unique market positioning, our team targets a wide variety of AI-related research fields, including computer vision, graphical models, natural language processing, advanced signal processing, unsupervised learning and clustering, reinforcement learning, etc.
Responsibilities
- Develop AI/ML algorithms and models using accepted best practices
- Analyse 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
- Assist in data acquisition from various sources
- Analyse data integrity and quality
- Develop data cleaning strategies and prepares training datasets
- Measure model performance and resilience
- Prepare reports and presentations on results
- Present results to peers, internal stakeholders and users
Qualifications
- BSc, MSc or PhD in machine learning or a related specialty
- at least 2 years of experience doing research and development in machine learning - including deep learning and advanced techniques
- Experience with Large Language Models, RAG 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 and use of tools related to our area of practice such as: Python, PyTorch, Scikit-learn , LangChain, Llamaindex, DSPy, GraphRAG
- Strong problem-solving capabilities using various technologies
- Capability to research a new topic and to learn quickly
- Experience with major cloud providers (Microsoft Azure, Amazon AWS, ElasticSearch, etc.) and/or MLOps experience desired
- Fluent in English
What We Offer
- A great Team and culture – please watch our Recruitment Video
- An exciting career as an integral part of a world-leading software company providing solutions for architecture, engineering, and construction
- Competitive salary and benefits
- The opportunity to work within a global and diversely international team
- A supportive and collaborative environment
- Colleague Rec
About Bentley Systems
Around the world, infrastructure professionals rely on software from Bentley Systems to help them design, build, and operate better and more resilient infrastructure for transportation, water, energy, cities, and more. Founded in 1984 by engineers for engineers, Bentley is the partner of choice for engineering firms and owner-operators worldwide, with software that spans engineering disciplines, industry sectors, and all phases of the infrastructure lifecycle. Through our digital twin solutions, we help infrastructure professionals unlock the value of their data to transform project delivery and asset performance.
Equal Opportunity Employer
Bentley is proud to be an equal opportunity employer and considers for employment all qualified applicants without regard to race, color, gender/gender identity, sexual orientation, disability, marital status, religion/belief, national origin, caste, age, or any other characteristic protected by local law or unrelated to job qualifications.
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