ML specialist

at  Capgemini

English message will follow.
Rôle : Spécialiste en apprentissage automatique (Machine Learning Specialist)
Localisation : Montréal, QC Sur site
Type d’emploi : Permanent à temps plein

DESCRIPTION DU POSTE :

Les Services partagés disposent d’une équipe mondiale et renforcent leur présence à New York, Montréal, Londres et Mumbai. Nous recherchons un spécialiste en apprentissage automatique et en traitement du langage naturel pour explorer, concevoir et développer de nouvelles solutions d’apprentissage automatique pour une base d’utilisateurs de l’entreprise, en exploitant de nombreux outils. Le candidat idéal devrait détenir un diplôme avancé dans une discipline quantitative et avoir de l’expérience dans la recherche, la construction et la maintenance de modèles de science des données à grande échelle dans un environnement d’entreprise. Le poste nécessite de bonnes compétences en communication, la capacité de travailler ensemble dans des équipes techniques pluridisciplinaires dans différents domaines de l’organisation.

POSITION DESCRIPTION:

Shared Services has a global team and growing its presence in New York, Montreal, London, and Mumbai. We are looking for a machine learning and natural language processing specialist to explore, design and develop new Machine Learning solutions for a Firm-wide user base leveraging many tools. The ideal candidate should hold an advanced degree in a quantitative discipline and has experience researching, building, and maintaining data science models at scale in an enterprise environment. The position requires good communication skills, ability to work together in cross-functional technical teams in different areas of the organization.

SKILLS REQUIRED:

• Masters in mathematics, Statistics, Economics, Data Science, Machine Learning, Operational Research, Physics, and other related quantitative fields.
• At least 4 years of experience with design and implementation of machine learning, predictive analysis, data science, knowledge bases, recommendation systems, information retrieval.
• Strong understanding of the foundational concepts and applied experience in Machine Learning and model explain ability (ideally, a combination of excellent academic research and high-impact commercial projects).
• In depth understanding of common Machine Learning algorithms (e.g., for classification, regression, and clustering).
• Experience with LLM models and Open AI.
• In depth knowledge of advanced statistical theories, methodologies, and inference tools.
• Proven track record in some of the advanced topics such as Bayesian inference, hierarchical models, deep learning, Gaussian processes, and causal inference.
• Practical experience in preparing data for Machine Learning integrating with big-data platforms and high-performance computing ecosystems.
• Strong oral and written communication skills.
• Strong analytical and problem-solving skills.

• Independently work on end-to-end development of Machine Learning and Natural Language Processing models to derive insights from research publications, legal documents, regulatory requirements etc.
• Technical analysis and software development
• Design and implement business solution in agile squads.
• Engage in Machine Learning project, which includes problem definition, Data Engineering, Machine Learning design and documentation for the model risk management and running all the needed ML tests to ensure reliability.
• Develop, maintain, and track detailed delivery plans.