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Added 7 mins ago
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Lead Software Engineer (Bilingual, Montreal)
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- Full-time
Experience leading a technical team or project
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Added 1 hour ago
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Associate EI&C Engineer
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cross-functional engineering team executing custom project designs, meeting customer expectations,
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Added 2 hours ago
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Added 2 hours ago
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MONTREAL [hybrid] - MLOps Engineer
QUANTEAM - North America (RAINBOW PARTNERS Group)
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
We are looking for an MLOps Engineer for one of our clients, an investment bank set in Montreal
Added 2 hours ago
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Senior Mine Engineer/Planner - PL#27347
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Peter Lucas Project Management invests in people, community, and to provide gold standard project delivery. We are currently looking for an experienced Senior Mine Engineer / Planner to…
Added 2 hours ago
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The Production Engineer will be responsible for all production engineering activities for their responsible area. The successful candidate will work closely with field operations staff to…

QUANTEAM - North America (RAINBOW PARTNERS Group)

MONTREAL [hybrid] - MLOps Engineer

Greater Montreal Metropolitan Area, QC, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Nov 26, 2026
Posting language: English
Posted: Oct 27, 2026

Original job description

About the Company:

As the founding entity of RAINBOW PARTNERS, Quanteam is a consulting firm specializing in Banking, Finance, and Financial Services. Guided by our core values of closeness, teamwork, diversity, and excellence, our team of 1,000 expert consultants, representing 35 different nationalities, collaborates across 10 international offices: Paris, Lyon, New York, Montreal, London, Brussels, Geneva, Lisbon, Porto and Casablanca.

We are looking for an MLOps Engineer for one of our clients, an investment bank set in Montreal

Role Overview :

The position is located within teams primarily located in Paris, London, New York, Montreal, Hong Kong, India, and Singapore. In an agile-oriented environment, the team is implementing a data-centric enterprise architecture dedicated to Capital Markets.

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 responsabilities :

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.

Required Qualifications and Skills:

AWS – hands-on experience required.
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.
Tools and Methodologies: ML Model Lifecycle, Model Registry, CloudWatch, Bedrock, SQL, Lambda, Athena, CodeBuild, SageMaker AI, S3, API Gateway, MLflow, Step Functions / Airflow, EC2.

Competencies:

Excellent written and oral communication skills.
Strong ability to explain technical issues to non-technical audiences.
Rigorous incident and knowledge documentation habits.

Nice to Have

SageMaker experience is a strong asset.
Prior experience in a Capital Markets or CIB context is a strong plus; familiarity with market finance-specific challenges is valued.

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More about this job

Responsibilities

Design, develop, deploy, and monitor machine learning and Generative AI models, and build MLOps/LLMOps infrastructure and APIs using Python and AWS. Industrialize proofs of concept into production-grade solutions, ensuring reliability and scalability, and provide documentation and handover to Support.

Requirements

Requires hands-on AWS experience, senior-level Python expertise, strong classical machine learning knowledge, and solid foundations in Generative AI architectures such as RAG and agents. Candidates should have experience deploying ML models to production, developing APIs, working with Ops or MLOps teams, and communicating technical issues clearly.

Skills

MLOps
LLMOps
Python
Machine Learning
Generative AI
AWS
REST APIs
gRPC
MCP APIs
RAG
AI Agents
ETL Pipelines
Feature Engineering
Model Deployment
CI/CD
Cross-Functional Collaboration

Visa sponsorship

Not detected in the job text

Keywords

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

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