Python & Database Developer
Offre en anglaisDevelop production-grade data processing pipelines and AI/ML services using Python and FastAPI. Design and deploy generative AI solutions and multimodal models to solve business problems.
- Sur place
- Montréal, QC
- Publié 31 juill. 2026
- Postuler avant le 30 août 2026
- 1 poste
Résumé du poste
Job Title: Python & Database Developer Years of experience: 5-7 years of Python & Database experience (70%) 2-3 years of hands-on AI project experience (30%) Skills Required: Strong proficiency of Python with experience developing production-grade data processing pipelines and AI/ML services Expertise in pandas and familiarity in 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 ability to work in a fast-paced environment and be able to work on multiple projects Good to Have: Experience of 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
Ce que vous ferez
Develop production-grade data processing pipelines and AI/ML services using Python and FastAPI. Design and deploy generative AI solutions and multimodal models to solve business problems.
Exigences
Requires 5-7 years of Python and database experience along with 2-3 years of hands-on AI project experience. Proficiency in pandas, scikit-learn, and SQL is essential for implementing machine learning models and managing data.
Autres compétences pertinentes
Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.
- Python
- SQL
- FastAPI
- Pandas
- Scikit-learn
- Generative AI
- LLMs
- Anomaly Detection
- Stored Procedures
- Unix
- Git
- Pytest
- Object-Oriented Programming
- Data Processing Pipelines
- Time Series Analysis
- Pattern Mining
Domaines d’emploi
- Software
- Data & Analytics
- Technology
- Finance & Accounting
- Engineering
Renseignements supplémentaires
- Expérience minimale
- 5+ ans
- Postuler avant le
- 30 août 2026
- Langue de l’offre
- anglais
- Heures de travail
- 40 heures par semaine
- Niveau d’expérience
- Mid-Senior level
- Mode de candidature
- La candidature directe est offerte