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Added 10 days ago
UT
Développeur(euse) DevOps senior(e) | Senior DevOps Developer
Unity Technologies
Montreal, QC · CAN-Montreal
- Full-time
Added 10 days ago
SG
IT Service Operations, API and Cloud Warehouse Integrations
S&P Global
Calgary, AB
- Full-time
10-15 years of proven experience in API integration and programming skills in Python, Java, JSON, SQL, XML.
Added 10 days ago
R
Lead Full Stack Developer
RBC
Toronto, ON
- Full-time
A Lead Full Stack Developer is responsible for designing, developing and maintaining legacy and "Cloud First" applications written primarily in C# and focused on .Net Core and cloud…
Added 10 days ago
AA
Services Business Applications Owner / Responsable des Applications pour Services
Airbus Aircraft
Montreal, QC
- Full-time
Atout : Connaissances avancées python, sql+, java, html, skywise et méthodologie AGILE.
Added 10 days ago
OT
Senior Software Developer (Microsoft 365 & Azure Integrations)
Open Text Corporation
Richmond Hill, ON
- Other
We are looking for a Senior Software Developer to design and build the integration layer between OpenText Content Management and the Microsoft ecosystem, including Microsoft Teams,…
Added 10 days ago
MC
Data Scientist
Meridian Credit Union
Toronto, ON · Etobicoke, ON
- Full-time
Knowledge of SQL Server and T-SQL programming.
Added 10 days ago
D
Data Engineer
DarkVision
North Vancouver, BC
- Full-time
Strong proficiency in Python for data manipulation and analysis.
Added 10 days ago
OT
Architect
Open Text Corporation
Waterloo, ON
- Other
4+ years of Java / Python development coupled with REST and SOAP Frameworks.
Added 11 days ago
CO
Application & Integration Technical Analyst
City of Saint John
Saint John, NB
- Full-time
Database querying and transformation: dbt, SQL (writing queries, joins, stored procedures)
Added 11 days ago
T
Senior Salesforce Analyst, Marketing Delivery
TD
Toronto, ON
- Full-time
Leverage analytical tools including Python, PySpark, SQL, and Databricks to enhance campaign design, delivery, and measurement.
Added 11 days ago
A
Data and Analytics Technologist
ATCO
Calgary, AB
- Full-time
Highly proficient with Python (PySpark) and SQL
Added 11 days ago
V
Databricks Engineer-Canada
V4C.ai
Remote, Canada
- Contract
- Remote
Pipeline Development: Build, optimize, and maintain robust data pipelines using SQL, dbt, and Python.
Added 11 days ago
C
Ingénieur(e) MLOps senior
CGI
Montreal, QC
- Full-time
Senior level Python development across the full data and ML stack.
Added 11 days ago
SG
IT Service Operations, API and Cloud Warehouse Integrations
S&P Global
Calgary, AB
- Full-time
10-15 years of proven experience in API integration and programming skills in Python, Java, JSON, SQL, XML.
Added 11 days ago
Software Engineer II
Planview Incorporated
Vancouver, BC
Work alongside data scientists to implement and iterate on insights, turning data science Python code and LLM-based logic into reliable production capabilities. Write evals while also…
Added 11 days ago
V
Databricks Engineer-Canada
v4c.ai
Canada
- Contract
Pipeline Development: Build, optimize, and maintain robust data pipelines using SQL, dbt, and Python
Added 11 days ago
A
Cloud Software Engineer
Actalent
Ottawa, ON
- $61 to $70 CAD / hour
- Contract
Experience with relational databases, SQL, and basic data modeling.
Added 11 days ago
Senior Software Engineer II
Schneider Electric
Calgary, AB
Develop enterprise data assistants and conversational web experiences, including a customer 360 assistant that provides clear, reliable answers grounded in current data from internal APIs,…
Added 11 days ago
FH
Analyst, Business Systems
Fraser Health
Surrey, BC
- Full-time
Strong proficiency with SQL, Power BI, Excel, and ideally Python or R.
Added 11 days ago
R
Senior Manager, Engineer & Build
RBC
Toronto, ON
- Full-time
Snowflake expertise: Hands-on with Streams, Tasks, Snowpark, and Snowpipe; strong SQL and warehouse design; performance optimization.
Added 11 days ago
R
Application Security Consultant - SCA (Global Security)
RBC
Toronto, ON
- Full-time
We are seeking a talented Intermediate Developer to join our Application Security team and serve as a bridge between security and development. You will provide technical execution and…
Added 11 days ago
R
Prod Srvc Lead, Client Technology Support– Salesforce CRM
RBC
Toronto, ON
- Full-time
Experience with RHEL Unix / Linux / Windows environments and basic scripting (Perl, Bash, Python, Powershell, batch)
Added 11 days ago
M
Data Engineer
Manulife
Toronto, ON · Waterloo, ON
- Full-time
Experience with programming languages such as Python, SQL, Java, and/or Scala.
Added 11 days ago
B
DevOps Engineer - New Grad (January 2027)
BDO
Toronto, ON
- Full-time
Develop automation and scripting using Python, PowerShell, and Azure CLI.
Added 11 days ago
X
Software Developer
Xe.com
Newmarket, ON
- Full-time
Good understanding of NoSQL and SQL databases

CGI

Ingénieur(e) MLOps senior

Montreal, QC, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 16, 2026
Posting language: English
Posted: Oct 17, 2026

Original 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

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.

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.

API Development & Python Engineering

Design and develop REST and MCP APIs.

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 to Support

Requirements (ordered by priority)

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 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

Your future duties and responsibilities

Required Qualifications To Be Successful In This Role

Together, as owners, let’s turn meaningful insights into action.

Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because…

You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction.

Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.

You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.

At CGI, we value the strength that diversity brings and are committed to fostering a workplace where everyone belongs. We collaborate with our clients to build more inclusive communities and empower all CGI partners to thrive. As an equal-opportunity employer, being able to perform your best during the recruitment process is important to us. If you require an accommodation, please inform your recruiter.

That same commitment to fairness extends to how we use technology. To support our recruitment team, AI tools may be used to help assess applications though they never replace human judgement. All hiring decisions remain entirely in the hands of our recruitment professionals.

To learn more about accessibility at CGI, contact us via email. Please note that this email is strictly for accessibility requests and cannot be used for application status inquiries.

Come join our team - one of the largest IT and business consulting services firms in the world.

Apply About employer

More about this job

Responsibilities

Design, develop, deploy, and monitor machine learning and generative AI models, and build scalable MLOps/LLMOps infrastructure and APIs. Industrialize proofs of concept into production-ready solutions, document them, and hand them over to support teams.

Requirements

Requires senior-level Python expertise, hands-on AWS experience, and proven ability to deploy machine learning models to production; SageMaker experience is an asset. Candidates should have strong foundations in generative AI architectures and classical machine learning, experience collaborating with operations or MLOps teams, and ideally a Capital Markets or CIB background.

Skills

AWS
Amazon SageMaker
Python
Machine Learning
Generative AI
MLOps
LLMOps
REST APIs
gRPC
Retrieval-Augmented Generation
AI Agents
ETL Pipelines
CI/CD
Model Deployment
SQL
Capital Markets

Visa sponsorship

Not detected in the job text

Keywords

AWS
Amazon SageMaker
Amazon Bedrock
Amazon S3
Amazon CloudWatch
AWS Lambda
Amazon Athena
AWS CodeBuild
Amazon API Gateway
Amazon EC2
Python
SQL
MLflow
Apache Airflow
Step Functions
MLOps
LLMOps
Generative AI
Machine Learning
Retrieval-Augmented Generation
AI Agents
REST APIs
gRPC
ETL Pipelines
Feature Engineering
Model Registry
CI/CD
Model Monitoring
Capital Markets
CIB

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