Posted 22 days ago
Senior MLOps Engineer
@ CGI
Montréal, Quebec
SIGNALS
Overview
CGI is hiring a Senior MLOps Engineer for a Capital Markets AI team serving a client's Global Markets IT department. The role designs and runs MLOps/LLMOps infrastructure for AI and Generative AI models, builds REST and MCP APIs in Python, and takes proofs of concept to production on AWS.
Responsibilities:
- Design and implement MLOps and LLMOps architecture for AI and GenAI models
- Automate model development, deployment and monitoring
- Design and develop REST and MCP APIs in Python
- Industrialize proofs of concept into production solutions
- Document models and hand over to support
Requirements summary:
- Hands-on AWS experience, SageMaker a strong asset
- Proven ability to deploy machine learning models to production
- Solid RAG and agent architecture foundations
- Deep senior Python experience for ETL, orchestration and CI/CD
- Experience working alongside Ops or MLOps profiles
- Capital Markets or CIB experience a strong plus
Tools & skills
Source and dates
Source type not verified · njoyn
- Employer posting date
- 2026-10-15
- First seen by our source
- 2026-10-17
- Source record updated
- 2026-10-17
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Software development |
| Hours per week | 40 (estimated) |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
Summary and details written by AI from the posting; the employer’s posting is the authority.
CGI
| Field | Value |
|---|---|
| Company size | 10001+ |
| Headquarters | E-Commerce Place |
| Open jobs on Jobsy | 514 |
Job description
Mission
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 at the client. The Global Markets IT (GMI) department manages the global information system across the entire value chain of Global Markets businesses. The GMI 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
1. AI / Generative AI Model Design & Development
Data preparation, feature engineering, training, evaluation, versioning, deployment, and monitoring.
Select the most appropriate models and techniques based on available data and project objectives.
2.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.
Automate development, deployment, and monitoring processes for models.
Ensure the quality, reliability, and scalability of models in production.
3. API Development & Python Engineering
Design and develop REST and MCP APIs.
Senior level Python development across the full data and ML stack.
4.POC Industrialization
Take internal proofs of concept through to production grade solutions.
5. Documentation and handover to Support
Requirements (ordered by priority)
1. AWS – Hands on experience required; SageMaker experience is a strong asset.
2. API Development (REST / gRPC) – Proven ability to deploy Machine Learning models to production.
3. Generative AI Architecture (RAG / Agents) – Solid foundations required; excellent command of classical Machine Learning is essential.
4. Senior Python Development – Deep expertise in Python for building ETL pipelines, database interactions, S3, orchestration, versioning, and CI/CD on the cloud.
5. ML / Generative AI Model Knowledge – Strong understanding of ML and GenAI models and their real world applications.
6. Cross functional Collaboration – Experience working alongside Ops or MLOps profiles.
7. CIB Environment – Prior experience in a Capital Markets or 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 · EC2
Communication & Competencies
Excellent written and oral communication skills
Strong ability to explain technical issues to non technical audiences
Rigorous incident and knowledge documentation habits
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 at the client. The Global Markets IT (GMI) department manages the global information system across the entire value chain of Global Markets businesses. The GMI 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
1. AI / Generative AI Model Design & Development
Data preparation, feature engineering, training, evaluation, versioning, deployment, and monitoring.
Select the most appropriate models and techniques based on available data and project objectives.
2.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.
Automate development, deployment, and monitoring processes for models.
Ensure the quality, reliability, and scalability of models in production.
3. API Development & Python Engineering
Design and develop REST and MCP APIs.
Senior level Python development across the full data and ML stack.
4.POC Industrialization
Take internal proofs of concept through to production grade solutions.
5. Documentation and handover to Support
Requirements (ordered by priority)
1. AWS – Hands on experience required; SageMaker experience is a strong asset.
2. API Development (REST / gRPC) – Proven ability to deploy Machine Learning models to production.
3. Generative AI Architecture (RAG / Agents) – Solid foundations required; excellent command of classical Machine Learning is essential.
4. Senior Python Development – Deep expertise in Python for building ETL pipelines, database interactions, S3, orchestration, versioning, and CI/CD on the cloud.
5. ML / Generative AI Model Knowledge – Strong understanding of ML and GenAI models and their real world applications.
6. Cross functional Collaboration – Experience working alongside Ops or MLOps profiles.
7. CIB Environment – Prior experience in a Capital Markets or 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 · EC2
Communication & Competencies
Excellent written and oral communication skills
Strong ability to explain technical issues to non technical audiences
Rigorous incident and knowledge documentation habits
Journal
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