Senior Machine Learning (MLOps) Engineer in Montréal

Senior Machine Learning (MLOps) Engineer in Montréal

Montréal Full-Time On-site
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Nöord Technologies Corporation | Term to perm

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

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 .

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.

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Senior Machine Learning (MLOps) Engineer in Montréal employer: Noordtechnologies

Nöord Technologies is an exceptional employer that fosters a dynamic and innovative work culture, perfect for Senior Full-Stack Developers looking to make a significant impact in the capital markets sector. Located in Montreal, employees benefit from a hybrid work model that promotes flexibility while collaborating with elite teams on cutting-edge trading applications. With ample opportunities for professional growth and development, Nöord Technologies is committed to empowering its employees to excel in their careers while enjoying a supportive and engaging environment.

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Contact Details:

Noordtechnologies Recruitment Team