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.
Positive 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 workplace 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