Onsite AI-Powered Python Developer for Aerospace

Insight Global

Montreal (administrative region)

On-site

CAD 70,000 - 110,000

Full time

34 hours ago
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Job summary

Insight Global is seeking a Python Developer to join a top aerospace company in Longueuil, QC. This role is 5x week onsite in Longueuil, QC. The successful candidate will support the product cost/bid team to support the development of AI-driven cost estimation tools.

These tools aim to rapidly generate cost estimates from high-level technical and engineering data across the full engine lifecycle. Participate in Agile sprints and day-to-day development activities; develop AI proof-of-concept

Qualifications

  • Bachelor’s degree in Computer Science or related discipline
  • 1–3 years of experience in software development or a related technical role
  • Strong programming skills in Python, Node.js
  • Experience with Jira, ADO, GitHub

Responsibilities

  • Participate in Agile sprints and day-to-day development activities
  • Develop and enhance AI proof-of-concept tools for cost estimation and predictive analytics
  • Support technical and business reviews
  • Contribute to discussions with digital technology and business stakeholders to clarify requirements
  • Gather, structure, and maintain engineering and cost data sets
  • Support early-stage cost estimation where detailed data may be incomplete
  • Assist with extracting relevant data from technical drawings (e.g., CATIA or draft drawings, when applicable)

Skills

Python
Node.js
Agile
Data management
System integration
Jira
Azure DevOps
GitHub

Education

Bachelor’s degree in Computer Science

Tools

CATIA

Job description

Insight Global is seeking a Python Developer to join a top aerospace company in Longueuil, QC. This role is 5x week onsite in Longueuil, QC. The successful candidate will support the product cost/bid team to support the development of AI-driven cost estimation tools.

These tools aim to rapidly generate cost estimates from high-level technical and engineering data across the full engine lifecycle. Participate in Agile sprints and day-to-day development activities; develop AI proof-of-concept

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