### // About ProvidiusProvidius 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 ForWe’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 OverviewWorking closely with senior engineers, you will:implement, train, and evaluate models under guidanceprepare and explore real-world datahelp build and maintain data pipelinessupport experiments and document resultsThis 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 ResponsibilitiesImplement and train models under the guidance of senior engineersPrepare, clean, and explore datasets,



including feature engineeringRun experiments, record results, and help interpret findingsBuild and maintain parts of the data pipeline and supporting toolingHelp integrate models into larger systems alongside the teamWrite clear, testable, and maintainable codeAsk good questions, seek feedback, and learn from code review### Requirements### // Required Skills / Experience0–2 years of experience in machine learning, or strong academic or project experienceProgramming ability in PythonSolid grounding in machine learning fundamentalsWillingness to work with real-world, imperfect dataStrong problem-solving ability and a desire to learnAbility to take direction and incorporate feedbackClear communication in a team setting### // What this Role RequiresEagerness to learn and grow quicklyComfort working with guidance and asking for help when neededPragmatism and a willingness to see tasks throughAttention to detail and care in the workOwnership of your own learning and contributions### // Nice to havesCoursework, internships, or projects involving anomaly detection, time-series, or behavioral modelingExposure to streaming or telemetry dataFamiliarity with common ML libraries and toolingExperience contributing to a shared codebase### // Why join ProvidiusOwn a product area with real autonomy and direct impactWork on products that operate in real-time, high-stakes environmentsSmall team with high ownership and a direct line to leadership### Benefits### BenefitsDental careExtended health careOn-site parkingPaid time offVision care#J-18808-Ljbffr

📌 Ai Innovation Ml Engineer – Production Systems (Winnipeg)
🏢 A technology firm specializing in identity solutions
📍 Winnipeg