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Axelon Services Corporation

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Python & Database Developer

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Summary

Axelon Services is hiring a Python & Database Developer in Montreal (hybrid, onsite 3x/week) to build production data pipelines, optimize SQL queries and stored procedures, and develop FastAPI services. Requires 5+ years of experience with Python/OOP, databases, Unix, and Git; finance data and ML/GenAI skills are a plus.

Summary

Location:

Montreal

Work Mode:

Hybrid (day 1 onboarding onsite/in-office presence required 3x/week)

Years of Experience:

Minimum 5 years

Responsibilities

  • Develop and maintain production-grade data processing pipelines using Python.
  • Write and optimize SQL queries and stored procedures.
  • Build service endpoints and asynchronous processing systems using the FastAPI framework.
  • Collaborate with the PANDQ team to ensure data quality and consistency across applications.
  • Utilize version control tools for code management.
  • Conduct unit testing to ensure code quality and reliability.

Requirements

  • Strong proficiency in Python and experience with object-oriented programming (OOP).
  • Good knowledge of database concepts and query optimization.
  • Working knowledge of Unix systems.
  • Experience with version control tools, preferably Git.
  • Ability to work in a fast-paced environment and manage multiple projects simultaneously.

Preferred Skills

  • Experience working in Agile Squads.
  • Finance data domain knowledge.
  • Understanding of model performance monitoring, debugging, and logging systems within AI applications.
  • Experience with containerization and deployment of ML services in enterprise environments.
  • Experience with anomaly detection algorithms and techniques, such as isolation forest, clustering, time series analysis, and pattern mining.
  • Expertise in designing and deploying generative AI solutions using LLMs and multimodal models.
  • Proficiency in pandas and familiarity with scikit-learn for data manipulation and machine learning model implementation.

This role is for an existing vacancy.

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