Junior Machine Learning Engineer

// About Providius 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. // What We’re Looking For 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. // Position Overview 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 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. // Duties and 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 // Required Skills / Experience 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 // What this Role Requires Eagerness to learn and grow quickly Comfort working with guidance and asking for help when needed Pragmatism and a willingness to see tasks through Attention to detail and care in the work Ownership of your own learning and contributions // 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 // Why join Providius Own a product area with real autonomy and direct impact Work on products that operate in real-time, high-stakes environments Small team with high ownership and a direct line to leadership Dental care Extended health care On-site parking Paid time off Vision care

Implement, train, and evaluate machine learning models while preparing and cleaning real-world datasets. Build and maintain data pipelines and integrate models into larger systems under the guidance of senior engineers.

Requires 0-2 years of experience in machine learning with strong programming ability in Python. Candidates must have a solid grounding in ML fundamentals and a willingness to work with imperfect, real-world data.

• Dental Care • Extended Health Care • On-site Parking • Paid Time Off • Vision Care

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Python
• Machine Learning Fundamentals
• Feature Engineering
• Data Pipeline Construction
• Model Training
• Model Evaluation
• Problem Solving
• Communication

Expérience minimale

0+ ans