Job Description

About the Role Being part of a dynamic team, you are convinced that technology can drive the transformation of our industry. In an agile-oriented environment, you leverage the latest market-leading technologies and solutions . Your actions will help our teams achieve our ambitious business goals by implementing a data-centric enterprise architecture dedicated to Capital Markets . The position is located within our Global Markets IT department . This department manages the global information system across the entire value chain of Global Markets businesses . The teams are primarily located in Paris, London, New York, Montreal, Hong Kong, India, and Singapore . The client is looking to strengthen its team dedicated to AI projects for Capital Markets . The engagement will focus on new initiatives related to AI and Generative AI . Key Responsibilities AI / Generative AI Model Design & Development : Data preparation, feature engineering, training, evaluation, versioning, deployment, and monitoring . Model Selection : Select the most appropriate models and techniques based on available data and project objectives . MLOps / LLMOps Infrastructure : Define and implement a robust MLOps architecture to support the full lifecycle of AI and Generative AI models, from design to production . Process Automation : Automate development, deployment, and monitoring processes for models . Reliability & Scalability : Ensure the quality, reliability, and scalability of models in production . API Development & Python Engineering : Design and develop REST and MCP APIs, alongside senior-level Python development across the full data and ML stack . POC Industrialization : Take internal proofs of concept through to production-grade solutions . Documentation and Handover : Provide thorough documentation and ensure a smooth handover to support . Requirements Requirements AWS : Hands-on experience required; SageMaker experience is a strong asset . API Development (REST / gRPC) : Proven ability to deploy Machine Learning models to production . Generative AI Architecture (RAG / Agents) : Solid foundations required; excellent command of classical Machine Learning is essential . Senior Python Development : Deep expertise in Python for building ETL pipelines, database interactions, S3, orchestration, versioning, and CI/CD on the cloud . ML / Generative AI Model Knowledge : Strong understanding of ML and GenAI models and their real-world applications . Cross-functional Collaboration : Experience working alongside Ops or MLOps profiles . CIB Environment : Prior experience in a Capital Markets or Corporate and Investment Banking (CIB) context is a strong plus; familiarity with market finance-specific challenges is valued . Tools and Methodologies : ML Model Lifecycle, Model Registry, CloudWatch, Bedrock, SQL, Lambda, Athena, CodeBuild, SageMaker AI, S3, API Gateway, MLflow, Step Functions / Airflow, and EC2 . Communication & Competencies : Excellent written and oral communication skills, strong ability to explain technical issues to non-technical audiences, and rigorous incident and knowledge documentation habits . Position Details & Conditions Location : Montreal, QC (Hybrid model). Work Calendar : Follows the Canadian market and holiday calendar . Contract Duration : 12-month contract initially (renewable, with potential transition to a permanent position) . Start Date : November . Language : Fluent English is mandatory; French is a valuable asset . Work Authorization : Must be legally authorized to work in Canada (valid Canadian work permit, permanent residency, or citizenship). Relocation : A comprehensive relocation package is available for eligible candidates moving to Montreal.