Summary

We are looking for AI Engineer to to design and scale intelligent backend systems, machine learning pipelines, and data architectures. In this role, you will build production-grade AI services on AWS using Python or Node.js, integrating machine learning models with robust data engineering and analytics pipelines. This is a long-term consulting job and the client is one of the major banks.

Working Model: Hybrid – 2 days onsite in Toronto

Key Responsibilities

- Architect and build production-ready AI backend services and APIs using Python and Node.js.
- Build scalable data engineering pipelines to extract, clean, and deliver data for ML models.
- Deploy, scale, and manage machine learning models and AI workflows on AWS cloud infrastructure.




- Collaborate with data science and analytics teams to turn machine learning concepts into production systems.
- Optimize system performance, query speeds, model latency, and data processing workflows.

Requirements & Qualifications

- 7+ years of working experience as an AI Developer, ML Engineer, or Backend Developer.
- Robust backend engineering proficiency in Python or Node.js.
- Hands-on experience with AWS.
- Solid foundation in data engineering, ETL pipelines, and data analytics.
- Practical understanding of modern AI/ML frameworks, RESTful APIs, and cloud architecture.

📌 AI Developer (Greater Toronto Area)
🏢 Unisystech Consulting
📍 Greater Toronto Area