Process and Tools - Artificial Intelligence / Machine Learning

Bombardier Transportation GmbH; Mississauga; Hybrid; CAD 71,000 - 112,000; Full time

Job summary

A leading aerospace firm in Mississauga is seeking a Software Engineer specializing in Artificial Intelligence and Machine Learning. The successful candidate will drive improvements in retrieval quality and document understanding while also working on cloud security. With a salary range from CAD $71,200 to CAD $111,900 annually, the role emphasizes a blend of advanced AI technologies and practical development skills. Experience with Azure and React is advantageous, fostering a diverse and inclusive working environment.

Benefits

Insurance plans

Retirement savings plan

Employee Assistance Program

Qualifications

• 2+ years experience in AI/ML roles, especially in search/RAG.
• Hands-on experience with embeddings and reranking.
• Comfortable working in cloud environments like Azure.

Responsibilities

• Lead implementation of AI/ML improvements.
• Redesign chunking and indexing for PDFs.
• Expand evaluation beyond traditional metrics.
• Build modern front-end components and migrate applications.
• Ensure security and compliance in design.

Skills

Software engineer with 2+ years applied experience

Strong Python and IR fundamentals

Practical PDF parsing

Git power-user with CI/CD

Experience with Azure

Tools

PaddleOCR

Azure DevOps

React/Next.js + TypeScript

Job description

Process and Tools - Artificial Intelligence / Machine Learning

When applicable, Bombardier promotes flexible and hybrid work policies.

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.
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.

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)
• Retirement savings plan
• Employee Assistance 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 experience GenAI 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.
• 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.