Machine Learning Engineer

VTRAC Consulting Corporation; Toronto; Hybrid; CAD 80,000 - 120,000; Full time

Job summary

A technology consulting firm in Toronto seeks a Machine Learning Engineer to join their dynamic team. This hybrid position involves developing and maintaining LLM-powered systems and ML pipelines that contribute to sustainability efforts. The ideal candidate has over 5 years of experience with Python and ML systems, as well as a strong background in cloud-native solutions. This role offers a competitive salary and extensive benefits, along with opportunities for growth.

Benefits

Competitive salary

Extensive healthcare benefits

Qualifications

• 5+ years of experience developing production-grade ML systems in Python.
• Expertise in LLM-based system design and inference pipelines.
• Strong communication and analytical problem-solving skills.

Responsibilities

• Build, fine-tune, and maintain LLM-based applications.
• Translate business needs into machine learning-focused technical specifications.
• Design and deploy scalable ML models.

Skills

Machine Learning

Python

LLM integration

Data pipelines

Cloud-native solutions

Docker

Kubernetes

Agile methodologies

Tools

PostgreSQL

Redis

InfluxDB

AWS

Azure

GCP

Job description

Overview

VTRAC Consulting Corporation and Intelligent Solutions are seeking a Machine Learning Engineer (Python, LLM, SQL) for a permanent hybrid role in the Greater Toronto Area. Location: Greater Toronto Area (Hybrid).

Are you passionate about sustainability and ready to make a real difference in the fight against climate change? This is an exciting position for a talented and impact-driven Machine Learning Engineer to join a dynamic team and act as the forefront of innovation, designing intelligent systems that fuel the core platforms. This is your chance to work on groundbreaking LLM-powered systems and production-grade ML pipelines that directly contribute to a greener future. This position offers a competitive salary with extensive healthcare benefits as well as room for growth.

Key Responsibilities

• Build, fine-tune, and maintain LLM-based applications, including prompt engineering and orchestration.
• Translate business needs into machine learning-focused technical specifications and testable solutions.
• Design and deploy scalable ML models for prediction, optimization, and intelligent decision-making.
• Develop CI/CD pipelines for model training, testing, deployment, and performance monitoring.
• Maintain high-performance data pipelines supporting batch and real-time inference.
• Monitor and troubleshoot model performance, latency, and system reliability using MLOps best practices.
• Collaborate across teams to ensure secure, reliable, and containerized cloud-native ML deployments.

Qualifications

• 5+ years of experience developing production-grade ML systems in Python, including LLM integration.
• Expertise in LLM-based system design, inference pipelines, and model evaluation.
• Strong knowledge of databases and caching systems (e.g., PostgreSQL, Redis, InfluxDB).
• Proven experience building and scaling cloud-native ML solutions on AWS, Azure, or GCP.
• Proficiency with Docker, Kubernetes, and infrastructure-as-code for scalable deployments.
• Familiarity with agile, DevOps, and collaborative Git-based development environments.
• Strong communication and analytical problem-solving skills.

We thank all candidates in advance. Only selected candidates for interviews will be contacted. For other exciting opportunities, please visit us at www.vtrac.com. VTRAC is an equal opportunity employer.