About the Role

We are seeking a Senior Python & AI Engineer to join a fast-paced technology team delivering advanced data and AI solutions in an enterprise workplace. This role combines strong software engineering, data processing, and applied AI expertise, with a focus on building production-grade Python services, anomaly detection solutions, and generative AI applications that address real business challenges.

Main Responsibilities

- Design, develop, and maintain production-grade Python data processing pipelines, APIs, and AI/ML services.

- Build and deploy FastAPI-based AI service endpoints and asynchronous processing systems for enterprise applications.

- Develop anomaly detection and analytics solutions using techniques such as isolation forest, clustering, time-series analysis, and pattern mining.

- Design and implement generative AI solutions leveraging LLMs and multimodal models to support business use cases.

- Collaborate with cross-functional teams to define requirements, integrate AI solutions, and deliver scalable production-ready systems.

- Ensure software quality through unit testing, code reviews, version control,



monitoring, logging, and continuous improvement practices.

Qualifications

- 5–7 years of hands-on experience in Python development and database technologies, including SQL query development and stored procedures.

- 2–3 years of practical experience delivering AI or machine learning projects in production environments.

- Strong expertise in pandas, scikit-learn, FastAPI, object-oriented programming (OOP), and production AI service development.

- Solid understanding of anomaly detection methods, machine learning workflows, model monitoring, debugging, and logging practices.

- Experience with Unix/Linux environments, Git version control, unit testing frameworks (e.g., pytest), and modern software engineering practices.

- Ability to work independently in a fast-paced environment, manage multiple priorities, and collaborate effectively within Agile teams;

experience with financial data and containerized ML deployments is considered an asset.

📌 Python & Database Developer (Montreal)
🏢 Mantu
📍 Montreal