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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building AI-driven software solutions and robust ML pipelines, with a strong foundation in Python and key libraries. Proven ability to mentor teams, uphold software development standards, and effectively communicate technical decisions.
Highest-signal resume keywords
AI/ML DevelopmentPython 3Deep Learning FrameworksMLOps PracticesCloud Platform Services
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Deep LearningComputer VisionNatural Language ProcessingPredictive AnalyticsData AnalysisSoftware DevelopmentTestingAgile MethodologiesMicroservicesDomain-Driven Design
Soft Skills
Time ManagementCoachingCollaborationCommunicationInitiative
Tools & Technologies
NumPyPandasPyTorchScikit-learnTensorFlowKerasAWSAzureGoogle CloudCI/CD
Certifications & Qualifications
Master’s in Computer SciencePhD in Software Engineering
Industry Keywords
AI TechnologiesSoftware Development GuidelinesProduction IntegrationsEnterprise Software DevelopmentIn-Memory Storage
Tech Stack
Tools & technologiesAngularAWSAzureCloudJavaJavaScriptKerasMicroservicesNumpyPandasPythonPyTorchReactScikit-LearnSvelteTensorflowGo
About the role
Key responsibilities & impact- Build production-grade AI features and systems for enterprise clients
- Develop and deliver AI-driven software solutions for clients
- Identify opportunities to integrate AI technologies into products and workflows
- Implement solutions following specifications and documentation (SRS, C4)
- Define and communicate non-functional requirements and quality targets
- Build robust ML pipelines and production integrations (APIs, services, data flows)
- Coach colleagues on AI implementation patterns and engineering best practices
- Take initiative, own tasks end-to-end, and drive execution with strong time management
- Uphold and reinforce software development guidelines, code quality, and testing standards
- Research, test, and implement new models, tools, and approaches
- Consult with clients on technical decisions, trade-offs, and delivery plans
- Collaborate across roles, mentor teammates, and help teams make pragmatic technical decisions
Requirements
What you’ll need- 5+ years of software development experience, including 3+ recent years delivering AI/ML work (Deep Learning, Computer Vision, NLP, Generative AI, Predictive Analytics, etc.)
- Master’s (or PhD) in Computer Science / Software Engineering specialized in AI, or equivalent experience
- Intermediate or conversational French (minimum)
- Python 3
- Key Python libraries (NumPy, Pandas, PyTorch, Scikit-learn)
- Data analysis, cleaning, processing, and augmentation
- Deep learning frameworks (TensorFlow, Keras, PyTorch)
- AI services on at least one cloud platform (AWS, Azure, Google Cloud, etc.)
- MLOps practices (deployment, monitoring, automation, CI/CD)
- Testing (unit, functional, E2E, etc.)
- Development methodologies (Agile, Scrum, XP, Kanban, Shape Up, etc.)
- Experience with Go, Java and/or JavaScript is a plus
- Experience with enterprise software development is a plus
- Experience with in-memory storage, caching, and queue systems is a plus
- Experience with microservices and serverless systems is a plus
- Experience with domain-driven design is a plus
- Experience with a modern client-side framework/library (Angular, React, Svelte, etc.) is a plus
Benefits
Comp & perks- 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