Montréal Qc Level python developer Jobs – 143 Openings This Week

Data Engineer (Team Lead)
Apertera —Montréal, QC
- Full-time
- Hybrid work
- DevOps
- Databases
- SQL
- Dental care
- Vision care
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6d
Senior Full Stack Agentic AI Developer (Hybrid)
Morgan Stanley —Montréal, QC
- Full-time
- Hybrid work
- Bilingual
- Azure
- DevOps
Associate Technical Product Manager / Chef(fe) de produit technique associé(e)
FlightHub —Montréal, QC
- Schematics
- Engineering
- Hotel
Quick apply
Quality Assurance Co-op
Ericsson —Montréal, QC
- Full-time
- Hybrid work
- Bilingual
- Computer science
- Doctoral degree
Senior Edge AI & Imaging Developer
IMMERVISION —Montréal, QC
- Hybrid work
- Bilingual
- Doctoral degree
- Computer Science
Sr Principal Developer
Aspen Technology —Montréal, QC
- Full-time
- Azure
- Computer Science
- Schematics
Chief Developer
National Bank of Canada —Montréal, QC
- Full-time
- Hybrid work
- Bilingual
- Data analysis skills
- English
- Wellness program
- Employee assistance program
18h
Coopérative d'innovation et de prototypage
Ericsson —Montréal, QC
- Full-time
- Bilingual
- Doctoral degree
- Computer Science
1d
Database Administrator – SQL Server & Oracle (Senior)
CGI —Montréal, QC
- Full-time
- Bilingual
- Azure
- Oracle
Quick apply
Programmeur.se backend senior / Senior Backend Programmer
Bethesda Game Studios —Montréal, QC
- On call
- Computer science
- Azure
- Computer Science
AI Solution Architect — Intermediate
CGI —Montréal, QC
- Full-time
- Bilingual
- Azure
- English
Quick apply
Engine/Gameplay Architect - UGC / Architecte moteur / gameplay – UGC
NBCUniversal —Montréal, QC
- Overtime
- Hybrid work
- System design
- C++
- Travel
13h
Développeur sénior de plateforme d'identité/Senior Identity Platform Developer
GoTo —Montréal, QC
- Full-time
- Remote
- Microsoft Access
- Azure
- Computer Science
- Wellness program
- Disability insurance
Senior AI Platform Engineering Specialist (Hybrid) - Job Level: Vice President
Morgan Stanley —Montréal, QC
- Full-time
- Hybrid work
- Bilingual
- Computer Science
- DevOps
Développeur logiciel Python senior (outillage pour équipe IA)
Wabtec —Montréal, QC
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
- Work from home
- Flexible schedule
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Lead RPA Engineering Specialist (Hybrid)
Morgan Stanley —Montréal, QC
- Full-time
- Hybrid work
- Bilingual
- Engineering
- English
Security Architect / Security Controls Architect
Atlantis IT group —Montréal, QC
- Azure
- DevOps
- Windows
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Lead Développeur en données quantitatives (Snowflake)
TS Imagine —Montréal, QC
- Master's degree
- SQL
- In-person
Quick apply
2d
Observability / DevOps Advisor
Intact —Montréal, QC
- Full-time
- Hybrid work
- Bilingual
- Azure
- DevOps
- Employee stock purchase plan
13d
Middleware Administrator – IBM MQ & Messaging Systems (Intermediate)
CGI —Montréal, QC
- $80,000–$115,000 a year
- Full-time
- Computer Science
- Engineering
- English
Quick apply

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Data Engineer (Team Lead)

Apertera
Montréal, QC

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Job details

Full-time
6 days ago

Qualifications

Law
React
Multilingual
DevOps
Databases
SQL
AWS
Transportation management systems
Machine learning
ISO 27001
S3
Metadata
AI
Python
High availability

Full job description

About Apertera

Apertera is leading the evolution of language solutions for high-stakes content. We partner with enterprises as an extension of their teams, combining professional expertise with Adaptive AI technology that is continuously refined by client context.

For more than twenty years, Apertera has set the bar for legal, financial, and regulatory translation, serving the most rigorous buyers, including over 75% of major national Canadian law firms, all major banks, and leading securities regulators.
Apertera is Canadian-owned, ISO 17100 and SOC 2 certified.

Our core values:

Innovation
Dedication
Fanatical commitment to quality and service
Resourcefulness
Collaboration

Role Overview

As the Data Engineering Team Lead, you will be the technical lead and people manager for a specialized team at the intersection of Big Data, Global Communications, and Generative AI. You will oversee the development of our enterprise Data Warehouse, ensuring that our language assets (TMs, Glossaries, and Metadata) are structured, searchable, and optimized for human translators, machine translation searches and machine learning models.

Beyond traditional data engineering, you will collaborate with multiple teams on the design of the platform interface and the indexing strategies that power our next-generation localization workflows. Your unique value lies in bridging the gap between high-level data architecture, the nuanced translation domain, and the emerging requirements of Retrieval-Augmented Generation (RAG).

Key Responsibilities

1. Data Strategy & Warehousing

Architecture: Define the roadmap for our data warehouse, ensuring high availability and performance for massive multilingual datasets.
Data Cataloging & Governance: Implement robust cataloging solutions to ensure data lineage and "discoverability" across the organization.
Interface Development: Lead the creation of a user-centric interface that allows stakeholders to interact with, query, and extract data from the platform.

2. Translation & Localization Domain

Linguistic Asset Management: Manage the lifecycle of Translation Memories (TMs) and Terminology Databases.
Systems Expertise: Optimize integrations between our data platform and CAT tools and TMS systems (e.g., Phrase, Trados, MemoQ).
Domain Integration: Ensure data pipelines respect the nuances of translation metadata, XLIFF structures, and regional variants.

3. ML & GenAI Integration

RAG & Indexation: Oversee the creation and maintenance of Vector Databases and semantic search indexes to support Retrieval-Augmented Generation for automated translation and content creation.
Data Preparation for LLMs: Architect pipelines that clean, chunk, and format localization data for fine-tuning or prompting Large Language Models (LLMs).
Quality & Evaluation: Support the implementation of automated quality estimation (QE) and LLM-based evaluation metrics for translated content.

4. Leadership & Mentorship

Team Management: Lead a cross functional team of Linguists, Software Developers, Devops and Localization Engineers, providing technical guidance and mentorship.
Cross-functional Collaboration: Act as the liaison between Data, Localization, and AI/ML Research teams.

Required Qualifications

Experience: 5+ years in Data Engineering, with at least 2 years in a leadership or senior capacity.
Technical Stack: Proficiency in SQL, Python, ETL Pipelines, and cloud data platforms (e.g., AWS S3 Data Lakes, AWS Athena, AWS Redshift, AWS Glue).
AI/ML Fundamentals: Solid understanding of the GenAI lifecycle, specifically regarding how data is indexed for RAG (e.g., Pinecone, Milvus, or Qdrant).
Domain Knowledge: Understanding of the localization industry, including experience with TMX, TBX, and CAT tool workflows.
Product Mindset: Experience building and deploying production ready internal tools or interfaces (e.g., Streamlit, React) to democratize data access.

Preferred Skills

Familiarity with embedding models and semantic similarity scoring.
Knowledge of Data Privacy (ISO 27001, GDPR) specifically regarding PII in linguistic datasets.

Benefits & Perks You’ll Love:

Comprehensive Health Insurance: Including vision, dental, complementary therapies, and support for your overall well-being.
Your Birthday Off: We celebrate your special day!
6 Personal/Sick Days: Take the time you need for your health or life’s unexpected moments.
Work-Ready Equipment: Get the tools you need to succeed, provided upon request.
Hybrid Work Model: Enjoy the best of both worlds with a mix of in-office collaboration and remote flexibility.
Learning & Growth Opportunities: Training and resources tailored to your role and department.
Supportive & Collaborative Team Culture: Work alongside team members who genuinely have your back
Team Recognition & Action Awards: Celebrate wins and contributions in meaningful ways.
Employee Referral Program: Earn rewards for bringing amazing talent to our team.

Z4aGECUJtk

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Refine Your Search

level python developer jobs in montréal qc

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Role Overview

Key Responsibilities

1. Data Strategy & Warehousing

2. Translation & Localization Domain

3. ML & GenAI Integration

4. Leadership & Mentorship

Required Qualifications

Preferred Skills

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