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 anomaly detection algorithms to solve business problems.
- Sur place
- Montréal, QC
- Publié 12 août 2026
- Postuler avant le 11 sept. 2026
- 1 poste
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Résumé du poste
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. Years of experience: 5-7 years of Python & Database experience (70%) 2-3 years of hands-on AI project experience (30%) 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 anomaly detection algorithms to solve business problems.
Exigences
Requires 5-7 years of Python and database experience, with 2-3 years specifically in hands-on AI projects. Proficiency in pandas, scikit-learn, and SQL is essential, along with experience in version control and unit testing.
Compétences indiquées
- SQLSouhaitée
- GitSouhaitée
- PythonSouhaitée
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
- Time Series Analysis
- Object-Oriented Programming
- Unix
- Git
- Pytest
- Stored Procedures
- Data Processing Pipelines
- Multimodal Models
Domaines d’emploi
- Software
- Data & Analytics
- Technology
- Consulting
- Finance & Accounting
Renseignements supplémentaires
- Expérience minimale
- 5+ ans
- Postuler avant le
- 11 sept. 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