Junior Python Machine Learning Specialist

Build trusted sensor datasets with Python and SQL at Bells of Steel in Calgary, working hybrid Monday through Friday onsite regularly. Turn movement recordings into evidence for better coaching.This junior specialist role supports Bells of Steel’s training app and wearable research program. You will collaborate with the founder, engineers, coaches, and full-stack developer. The work combines data wrangling, reproducible machine learning experiments, reference measurements, and careful validation.Key Responsibilities:
Build Python and SQL tools for sensor recordings and workout logsMaintain traceable datasets with participant, exercise, equipment, and label detailsRun collection checklists and catch missing samples, timing errors, and bad labelsBuild documented baselines with separated-user and session evaluationWrite error reports, limitations, and interfaces for the app teamRequirements:
Practical Python, data wrangling, SQL, and Git experienceFoundation in statistics, machine learning, validation, and overfittingAt least one substantial project from work, research, school, or personal buildingAbility to explain what results do and do not showExperience with iOS and Android developmentApply Python, SQL, machine learning, and careful validation to wearable sensor research at Bells of Steel in Calgary.
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