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

VTRAC Consulting Corporation

Intelligent Solutions

Thank you for applying to VTRAC opportunities. Please email your resume as a MS-WORD document in confidence Subject: Machine Learning Engineer (Python, LLM, SQL), PERMANENT Hybrid, Attention: [email protected], (647) 254-0904.

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.

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.

Toronto . New York . Houston . Palo Alto