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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing AI-powered software solutions, with a strong focus on machine learning pipelines, cloud-based AI services, and adherence to best practices in software engineering. Proficient in Python and key libraries, with the ability to coach and collaborate effectively across teams.
Highest-signal resume keywords
5+ Years Software Development ExperienceAI/ML Expertise (Deep Learning, Computer Vision, NLP)Python 3 ProficiencyCloud Platform AI Services (AWS, Azure, Google Cloud)Master’s Degree or PhD in Computer Science/Software Engineering
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine Learning Operations (MLOps)Data Analysis, Cleaning, ProcessingDeep Learning Frameworks (TensorFlow, Keras, PyTorch)Application Testing (Unit, Functional, E2E)Development Methodologies (Agile, Scrum, XP, Kanban)
Soft Skills
Coaching and MentoringEffective CommunicationInitiative and OwnershipCollaboration
Tools & Technologies
Python Libraries (NumPy, Pandas, PyTorch, Scikit-learn)AI Integration PatternsProduction Integrations (APIs, Services, Data Flows)
Industry Keywords
AI-Powered Software SolutionsNon-Functional RequirementsQuality ObjectivesCode Quality StandardsTechnical Decision-Making
Tech Stack
Tools & technologiesAWSAzureCloudFluxKerasNumpyPandasPythonPyTorchTensorflowTypeScript
About the role
Key responsibilities & impact- Develop and deliver AI-powered software solutions for clients
- Identify opportunities to integrate AI into products and processes
- Implement solutions according to specifications and documentation (SRS, C4)
- Define and communicate non-functional requirements and quality objectives
- Build ML pipelines and production integrations (APIs, services, data flows)
- Coach colleagues on AI implementation patterns and engineering best practices
- Take initiative, assume end-to-end ownership of tasks, and manage priorities effectively
- Maintain and strengthen standards for code quality, testing, code reviews, and best practices
- Stay current with industry developments, test and implement new models, tools, and approaches
- Advise clients on technical decisions, trade-offs, and delivery plans
- Build robust, production-ready AI features and systems for enterprise clients
- Collaborate across roles, coach teammates, and contribute to pragmatic technical decisions
Requirements
What you’ll need- 5+ years of software development experience, including 3+ recent years in AI/ML (deep learning, computer vision, NLP, generative AI, predictive analytics, etc.)
- Master’s degree or PhD in computer science/software engineering specializing in AI, or equivalent experience
- Intermediate or conversational French (minimum)
- 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 platform (AWS, Azure, Google Cloud, etc.)
- Machine learning operations (MLOps)
- Application testing (unit, functional, E2E, etc.)
- Development methodologies (Agile, Scrum, XP, Kanban, Shape Up, etc.)
Benefits
Comp & perks- Competitive salary and contributions to your retirement savings plan (RRSP)
- Flexible schedule and freedom in how you work
- Opportunity to work from anywhere for up to 8 weeks per year
- Paid sabbatical leave
- Wellness and productivity spending account
- Parental program
- Social activities
- Training and professional development
