AI, Software Engineer
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- Dorval, QC
- Permanent
- Temps-plein
- Collaborate with cross-functional teams to identify high-impact business challenges that can be addressed through AI and ML.
- Design, develop and maintain modern applications and AI/ML models using Python, React and related frameworks.
- Automate data extraction, transformation, and loading processes for AI/ML pipelines.
- Deploy and integrate new and existing AI models into enterprise systems, including SAP S/4HANA.
- Ensure performance, scalability and responsiveness of AI-powered applications to drive measurable business value.
- Contribute to model lifecycle management, including monitoring, evaluation and continuous improvement.
- Maintain clean, modular and well-documented code following best practices.
- Engage with business stakeholders to gather requirements, incorporate feedback, and translate them into effective technical solutions.
- Stay current on advancements in AI/ML and Software Engineering to proactively introduce relevant innovations to the organization.
- 5+ years of experience in Software Development, combined with experience in AI/ML Engineering or Operational Research.
- Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a related technical field.
- Strong proficiency in Python, SQL, React, JavaScript/TypeScript, PySpark, REST APIs and full-stack integration.
- Solid understanding and experience implementing ML models, including time series forecasting, predictive analytics, image recognition, and NLP.
- Proven experience with cloud platforms, with preference to Microsoft Azure, particularly tools like Azure Databricks, AML, AI Foundry, App Services, AKS, Blob Storage, etc.
- Proficiency with Agile methodologies, Azure DevOps, and application lifecycle management tools.
- Knowledge of scripting in Linux or PowerShell.
- Strong analytical thinking, problem-solving ability, and decision-making initiative.
- Excellent verbal and written communication skills with the ability to present technical concepts to business stakeholders.
- Bonus points for experience applying optimization techniques (e.g. linear programming, mixed-integer programming) using tools such as OR-Tools, CPLEX, etc.)
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