Junior Machine Learning Engineer

Providius • Hamilton, ON

7d • Onsite

About The Position

Providius has been at the forefront of innovation in the Media & Entertainment industry for over a decade, delivering solutions to complex challenges in IP media and IT infrastructure within mission-critical environments. Headquartered in Hamilton, Ontario, Canada, we are a privately held company focused on building practical, reliable systems that solve real-world problems. We’re looking for a junior machine learning engineer to join our team and grow into a strong, hands-on ML engineer. This is a role for someone early in their career who is eager to learn, comfortable getting their hands dirty with real data, and motivated to build a solid foundation in applied machine learning. You will work under the direction of senior ML and engineering staff, contributing to real models and pipelines while developing your skills and judgment over time. Working closely with senior engineers, you will implement, train, and evaluate models under guidance, prepare and explore real-world data, help build and maintain data pipelines, and support experiments and document results. This role is hands-on and engineering-focused. You will be writing code, working with messy, real-world data, and learning how machine learning systems are built and run in practice. Over time, as you build experience, you will take on more ownership and tackle increasingly open-ended problems.

Requirements

• 0–2 years of experience in machine learning, or strong academic or project experience
• Programming ability in Python
• Solid grounding in machine learning fundamentals
• Willingness to work with real-world, imperfect data
• Strong problem-solving ability and a desire to learn
• Ability to take direction and incorporate feedback
• Clear communication in a team environment

Nice To Haves

• Coursework, internships, or projects involving anomaly detection, time-series, or behavioral modeling
• Exposure to streaming or telemetry data
• Familiarity with common ML libraries and tooling
• Experience contributing to a shared codebase

Responsibilities

• Implement and train models under the guidance of senior engineers
• Prepare, clean, and explore datasets, including feature engineering
• Run experiments, record results, and help interpret findings
• Build and maintain parts of the data pipeline and supporting tooling
• Help integrate models into larger systems alongside the team
• Write clear, testable, and maintainable code
• Ask good questions, seek feedback, and learn from code review

Benefits

• Dental care
• Extended health care
• On-site parking
• Paid time off
• Vision care

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed