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Python & Database Developer — Mantu, laval (Hiring Now)

Python & Database Developer

Python & Database Developer at Mantu, laval — Apply Now


Job description

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 environment.

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.



Required Skill Profession

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