Machine Learning Engineer (Lead)

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 senior AI/ML engineer to establish and lead our machine learning capability from the ground up.

This is not a role where everything is already defined. We need someone who can take a high-level concept, work through ambiguity, and determine what is actually possible, what is not, and what it will take to get there.

You will be expected to operate with a high degree of ownership and autonomy, and to act as the technical authority on ML-related decisions.

Position Overview

You will work closely with engineering leadership and domain experts to: • define what data is needed • help shape how that data is collected and structured • experiment, prototype, and evaluate approaches • build and integrate models into real systems • This role is hands-on and engineering-focused.

You will be writing code, building pipelines, and working directly with messy, real-world data.

Over time, you will help define standards and direction for ML within the company and mentor more junior engineers as the team grows.

Duties and Responsibilities • Work with stakeholders to translate high-level ideas into concrete ML problems • Define data requirements and guide data collection and curation • Design and run experiments to validate approaches • Build and iterate on models for tasks such as anomaly detection and behavioral analysis • Develop data pipelines and supporting infrastructure • Integrate models into production systems • Evaluate tradeoffs and communicate what is feasible vs not • Help prioritize what needs to be solved now vs later

Required Skills / Experience • 5+ years of experience in applied machine learning or data science • Strong programming ability (Python or similar) • Experience working with real-world, imperfect datasets • Experience building and deploying ML systems • Strong problem-solving ability and comfort working with open-ended problems • Ability to clearly explain technical decisions and tradeoffs

Nice to Have • Experience with anomaly detection, time-series data, or behavioral modeling • Experience working with streaming or telemetry data • Experience building systems from early-stage or undefined starting points • Experience mentoring or guiding other engineers

What This Role Requires • Ability to operate without a predefined roadmap • Comfort working from incomplete or evolving data • Pragmatic decision-making and willingness to ship working solutions • Ability to balance ambition with realism • Strong ownership and accountability

Job Type: Full-time

Pay: $150,000.00-$250,000.00 per year

Benefits: • Dental care • Extended health care • On-site parking

Work Location: In person