Senior Python AI/ML Engineer — Production Pipelines

Soho Square Solutions; Montreal (administrative region); On-site; CAD 90,000 - 130,000; Full time

Job summary

Soho Square Solutions in Montreal seeks a senior AI/ML engineer with 5–7 years of Python and database experience to design production-grade data pipelines and AI services. Proficiency with pandas, scikit-learn, anomaly detection, and generative AI using LLMs is required.

On-site presence 3 days per week and collaboration within Agile squads are expected. Strong skills in OOP, FastAPI, SQL, Unix, Git, and pytest, plus the ability to work on multiple projects in a fast-paced environment, are

Qualifications

• 5–7 years of Python & database experience
• 2–3 years of hands-on AI project experience
• Strong proficiency in Python for production-grade data pipelines and AI services
• Expertise in pandas and familiarity with scikit-learn
• Experience with anomaly detection algorithms (isolation forest, clustering, time series)
• Design and deploy generative AI solutions using LLMs and multimodal models
• Familiarity with OOP and FastAPI for AI service endpoints
• Good knowledge of SQL queries and stored procedures
• Working knowledge of Unix and version control (Git)
• Writing unit tests (pytest)
• Able to work in a fast-paced environment and on multiple projects
• Nice-to-have: Agile squads experience, finance data knowledge
• Model performance monitoring, logging, and deployment of ML services

Responsibilities

• (Not explicitly stated in HTML)

Skills

Python programming

Data processing pipelines

AI/ML services

Pandas

scikit-learn

Anomaly detection

LLMs / Generative AI

OOP

SQL

Unix

Git

pytest

Team collaboration

Agile / Sprint

Tools

FastAPI

SQL

Git

pytest

Unix

Job description

Soho Square Solutions in Montreal seeks a senior AI/ML engineer with 5–7 years of Python and database experience to design production-grade data pipelines and AI services. Proficiency with pandas, scikit-learn, anomaly detection, and generative AI using LLMs is required.

On-site presence 3 days per week and collaboration within Agile squads are expected. Strong skills in OOP, FastAPI, SQL, Unix, Git, and pytest, plus the ability to work on multiple projects in a fast-paced environment, are