Required skills:

- Advanced proficiency in Python, with experience in developing production-grade data processing pipelines and AI/ML services.
- Expertise with pandas and familiarity with the scikit-learn library for data manipulation and implementation of machine learning models.
- Experience with anomaly detection algorithms and techniques, particularly isolation forest, clustering, time series analysis and pattern mining.
- Design and deployment of generative AI solutions using LLM and multimodal models to solve business problems.
- Familiarity with object-oriented programming (OOP).
- Expertise in the FastAPI framework for creating AI service endpoints and asynchronous processing systems.
- Good knowledge of database concepts, writing SQL queries and stored procedures.
- Practical knowledge of Unix.




- Experience with version control tools (preferably Git).
- Writing unit tests (for example, using pytest).
- Autonomy, ability to thrive in a energetic environment and manage multiple projects simultaneously.

Desired skills:

- Experience working within Agile teams.
- Knowledge of the field of financial data.
- Understanding of model performance monitoring, model debugging and logging systems within AI applications.
- Experience in containerization and deployment of machine learning services in a professional environment.

Lieu du poste : En présentiel

📌 Développeur Python et Bases de Données (Montreal)
🏢 randstad canada
📍 Montreal