Senior Machine Learning (MLOps) Engineer

At Nöord Technologies , we empower top-tier financial institutions with exceptional talent in banking and capital markets. For the needs of one of our prestigious clients, a major banking actor in Montreal currently experiencing strong growth, we are actively seeking an experienced Senior MLOps Engineer.

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.