Process and Tools - Artificial Intelligence / Machine Learning

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Date: Feb 10, 2026

Location: Mississauga, ON, CA, L5S 1W1

Company: Bombardier

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 

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.
  • Expand evaluation beyond Recall@k (e.g., nDCG, MRR, Precision@k) and stand up a continuous evaluation pipeline with meaningful telemetry/logging (OpenTelemetry is a plus).
  • 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).

The base salary for this position is expected to range from CAD $71,200 to CAD 111,900 per year. The applicable base salary will be determined based on various criteria, at Bombardier’s sole discretion, such as the candidate’s skills, experience and qualifications.

 

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. As per the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act (AODA), Bombardier will accommodate the needs of applicants with disabilities throughout all stages of the selection process. If you need accommodation during the recruitment process, please advise your Talent Acquisition representative. Information relating to the need for accommodation and accommodation measures will be addressed confidentially.

 


Job  Process and Tools - Artificial Intelligence / Machine Learning 

Primary Location Global 7500/8000

Organization  Aerospace Canada

Shift  Day job

Employee Status Regular 

Requisition  11545  Process and Tools - Artificial Intelligence / Machine Learning