Senior Software Developer, Machine Learning Specialist
Team: Artificial Intelligence
Location: Montreal (EN)
Commitment: Full-time
Workplace Type: hybrid
Your key responsibilities
- Develop bleeding-edge AI-driven solutions
- Identify opportunities to implement AI technologies and tooling
- Develop software according to specifications and documentation (SRS, C4)
- Define and communicate non-functional requirements
- Coach colleagues in their use and implementation of AI technologies
- Confidently take initiative on projects and tasks
- Uphold and reinforce software development guidelines
- Research, test, and implement new techniques and technologies
- Advise and consult with clients about technical decisions and direction.
The ideal candidate
- Has 5+ years experience as a software developer or engineer with at least 3 recent years in Machine Learning, Deep Learning, Computer Vision, Neural networks, Natural Language Processing, Generative AI and/or Predictive Analysis
- Has a PhD, Master’s degree in Computer science or Software engineering specialized in AI, or equivalent degree or experience.
- Has intermediate or conversational French at a minimum.
You should be proficient with
- Python 3
- Key Python Libraries (such as Numpy, Pandas, Pytorch and Scikit Learn)
- Data Analysis, Cleaning, Processing and Augmentation
- Deep Learning Frameworks (such as TensorFlow, Keras, and Pytorch)
- AI Services on at least one cloud-hosting platform (AWS, Azure, Google Cloud, etc.)
- Machine Learning Operations
- Application Testing (unit, functional, E2E, etc.)
- Development Methodologies (Agile, Scrum, XP, Kanban, Shape Up, etc.)
It’s a plus if you have experience with
- GoLang, Java and/or JavaScript
- Enterprise Software Development
- In-Memory object storage, caching, and queue systems
- Microservices and Serverless Systems
- Domain-Driven Design
- A major modern client-side framework/library such as Angular, React, Svelte, etc.
What we offer
- Competitive Salary and contribution to your pension plan (RRSP)
- Flexible hours of work and choose how you work
- Work from anywhere up to 8 weeks
- Paid sabbatical
- Wellness and productivity spending account
- Parental program
- Activities
- Training
- And more...
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