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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and deploying AI solutions that drive business impact, with a strong foundation in software engineering and hands-on experience in AI/ML technologies. Proficient in Python and familiar with cloud platforms, MLOps, and modern development methodologies.
Highest-signal resume keywords
AI/ML ExperiencePython ProficiencyMLOps ExpertiseCloud Platform ExperienceSoftware Engineering Experience
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 VisionSpeech and Language ProcessingPredictive ModelsTime SeriesData AnalysisUnit TestingFunctional TestingE2E TestingAgile Methodologies
Soft Skills
CoachingCollaborationInitiativeMentoringCommunication
Tools & Technologies
Python 3NumPyPandasPyTorchScikit-learnTensorFlowKerasAWSAzureGoogle Cloud
Certifications & Qualifications
Master’s or PhD in Computer ScienceSoftware Engineering Specialized in AI
Industry Keywords
AI SolutionsSoftware Development GuidelinesNon-Functional RequirementsPerformanceReliabilitySecurityMaintainabilityCI/CD for MLExperimentationTechnical Direction
Tech Stack
Tools & technologiesAWSAzureCloudKerasNumpyPandasPythonPyTorchScikit-LearnTensorflow
About the role
Key responsibilities & impact- Build and deploy AI solutions that deliver measurable business impact
- Identify high-value opportunities to apply AI technologies and tooling
- Develop software aligned with specifications and documentation (SRS, C4)
- Define, document, and communicate non-functional requirements covering performance, reliability, security, and maintainability
- Turn experiments into production-ready components through evaluation, monitoring, and iteration
- Coach colleagues on applied AI best practices and implementation approaches
- Take initiative, own deliverables end-to-end, and manage priorities effectively
- Uphold and strengthen software development guidelines and quality standards
- Research, test, and implement new techniques, models, and tools
- Advise clients on technical direction, trade-offs, and solution design
- Design, build, and ship AI solutions for real client problems
- Collaborate with technical and non-technical teammates, mentor others, and support technical decisions for enterprise-grade AI software
Requirements
What you’ll need- 5+ years of software engineering experience, including 3+ recent years working hands-on with AI/ML (Deep Learning, Computer Vision, Speech and Language Processing, Agentic AI, Predictive Models, Time Series, etc.)
- Master’s or PhD in Computer Science / Software Engineering specialized in AI, or equivalent experience
- Intermediate or conversational French (minimum)
- Proficiency with Python 3
- Proficiency with NumPy, Pandas, PyTorch, and Scikit-learn
- Experience with data analysis, cleaning, processing, and augmentation
- Proficiency with TensorFlow, Keras, and PyTorch
- Experience with AI services on at least one major cloud platform, such as AWS, Azure, or Google Cloud
- Proficiency with MLOps, including training, deployment, monitoring, reproducibility, and CI/CD for ML
- Proficiency with unit, functional, and E2E testing practices
- Proficiency with modern development methodologies such as Agile, Scrum, XP, Kanban, or Shape Up
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