URGENT – Machine Learning Engineer (Python, LLM, SQL), PERMANENT Hybrid Permanent

VTRAC Consulting Corporation

Intelligent Solutions

Position: Machine Learning Engineer (Python, LLM, SQL)

Position Type: Permanent

No. of Positions: 1

Location: Greater Toronto Area (Hybrid)

Description

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.

Toronto . New York . Houston . Palo Alto