Machine learning Offres d'emploi - Laval, QC

When applicable, Bombardier promotes flexible and hybrid work policies.

Why join us?

At Bombardier, we design, build and maintain the world’s peak-performing aircraft for the world’s most discerning people and businesses, governments and militaries. We have been successful in setting the highest standards by putting our people at the heart of it all, and defining excellence, together.

Working at Bombardier means operating at the highest level. Every day, you are part of a team that delivers superior experiences and products, pushing the boundaries of what's possible in our industry and beyond. By prioritizing employee growth and development, we empower everyone to reach their full potential on their own terms, because the best work happens when you are free to be yourself and share your unique expertise.

Bombardier’s Benefits Program

With our employees’ well-being top of mind, we offer a comprehensive and competitive Benefits Program, which includes the following:

• Insurance plans (Dental, medical, life insurance, disability, and more)
• Competitive base salary
• Retirement savings plan
• Employee Assistance Program
• Tele Health Program

Process and Tools – Artificial Intelligence / Machine Learning

What are your contributions to the team?

• Lead and ensure applicable corporate implementation of improvements to retrieval quality: strengthen hybrid BM25 + dense retrieval, add robust metadata filtering, and implement/compare rerankers (cross-encoder or lightweight LLM-as-reranker) while iterating on existing BGE pipelines.
• Redesign chunking and indexing for PDFs (overlap/hierarchical, section-aware/semantic); build benchmarks to compare strategies; introduce dedup/versioning and maintain document lineage with structured citations.
• Advance OCR & document understanding: use PaddleOCR for scanned PDFs; evaluate advanced LLM-based OCR approaches (local/on‑prem only); expand table/diagram extraction and prepare for multimodal retrieval.
• Contribute to a modern frontend: help migrate from Streamlit to React/Next.js + TypeScript (Node.js) with secure sign-in and PDF snippet highlighting.
• Strengthen security & platform foundations: implement access control with Azure AD (Entra ID) or LDAP; work comfortably in Azure; uphold Canada-only data residency and no external calls in design and deployment.
• Elevate developer experience: drive reviews, testing, and CI/CD workflows with Git Actions.

How to thrive in this role?

You possess the experience and knowledge to guide evolution of Artificial Intelligence and Machine Learning at the Corporate level through:

• Experience: Software engineer with 2+ years applied experienceGenAI for search/RAG; strong Python and IR fundamentals (BM25, ANN/vector search, hybrid/fusion, reranking).
• Embeddings & reranking: Hands-on with BGE (or similar) and lightweight tuning for embedders/rerankers; ability to build evaluation harnesses (offline metrics, curated sets, continuous runs).
• Docs & OCR: Practical PDF parsing; PaddleOCR; exposure to table/diagram extraction.
• Cloud & access control: Comfortable in Azure; familiarity with Azure AD or LDAP integration.
• DevOps: Git power-user with CI/CD using Azure Devops git Actions.
• Communication: Bilingual English/French.
• Nice to have: React/Next.js + TypeScript (Node.js); OpenTelemetry; query rewriting and LoRA/contrastive tuning; exposure to vector stores such as Qdrant, Milvus, Weaviate, pgvector (ChromaDB or equivalent also useful).

Now that you can see yourself in this role, apply and join the Bombardier Team!

Please note: You don’t need all the skills, knowledge, and experience listed to apply for this position. We’re not looking for the perfect candidate, we’re looking for great talent and passionate individuals.

Bombardier is an equal opportunity employer and encourages persons of any race, religion, ethnicity, gender identity, sexual orientation, age, immigration status, disability or other applicable legally protected characteristics to apply.

Job Process and Tools - Artificial Intelligence / Machine Learning

Primary Location Administrative Centre (CA)

Organization Aerospace Canada

Shift Day job

Employee Status Regular

Requisition 10154 Process and Tools - Artificial Intelligence / Machine Learning