IT & Software

Python & Database Developer

Axelon Services Corporation

Montreal (Administrative Region) · Qc · Canada

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.

#J-18808-Ljbffr

Reference: WJ-3875_13273252

Apply now

Continue on the employer's official application - the same link they use for every candidate.

More jobs

Find more on GigBlows

This role is listed on GigBlows for discovery and search. Hiring decisions and applications are handled by the employer or their chosen application system.