Summary: Duration: 12 month Work Mode: Hybrid (day 1 onboarding onsite/in-office presence required 3x/week) Location: Montreal Requirements: Minimum 5 years of Python experience Minimum 2 years of hands-on AI project experience Robust proficiency in Python with experience developing production-grade data processing pipelines and AI/ML services Expertise in pandas and familiarity with scikit-learn libraries for data manipulation and machine learning model implementation Experience with anomaly detection algorithms and techniques, particularly isolation forest, clustering, time series analysis, and pattern mining Design and deploy generative AI solutions using LLMs and multimodal models to solve business problems Familiarity with object-oriented programming (OOP)



Expertise in FastAPI framework for building AI service endpoints and asynchronous processing systems Good knowledge of database concepts and writing SQL queries and stored procedures Working knowledge of Unix Experience with version control tools (preferably Git) Writing unit tests (e.g., using pytest) Self-starter with the ability to work in a fast-paced environment and manage multiple projects Preferred Skills: Experience working in Agile squads Finance data domain knowledge Understanding of model performance monitoring, model debugging, and logging systems within AI applications Experience with containerization and deployment of ML services in enterprise environments

📌 Python Developer Level (Montreal)
🏢 Axelon Services
📍 Montreal