Python & Database Developer

Randstad Enterprise; Montreal (administrative region); On-site; CAD 90,000 - 130,000; Full time

Job summary

Randstad Enterprise is seeking a Python AI/Data Engineer to develop production-grade data processing pipelines and AI/ML services. You will implement/polish models with pandas, scikit-learn, and anomaly detection techniques while designing end-to-end AI solutions using LLMs and multimodal models.

The role requires strong OO design, FastAPI-based endpoints, SQL proficiency, Unix familiarity, and Git-driven collaboration. You’ll work across multiple projects in a fast-paced environment.

Qualifications

• 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.

Skills

Python language proficiency

AI/ML pipelines

pandas

anomaly detection

LLMs & multimodal models

OOP

FastAPI

SQL queries & stored procedures

Unix

Git

pytest

SQL (general)

Project multitasking

Tools

FastAPI

Git

pytest

SQL

Unix

Job description

• 5-7 years of Python & Database experience (70%)
• 2-3 years of hands-on AI project experience (30%)

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

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