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Engineer • elliot lake on
MLOps Engineer
Motion RecruitmentON, CanadaIndustrial Engineer / Manufacturing Engineer
Emonics LLCOntario, CanadaFull Stack Engineer
Opencare IncON, CAElectrical Engineer
Morson TalentOntarioEnvironmental Engineer
STRABAG INCON, KanadaSr Data Engineer
Thermo Fisher ScientificOntario, Canada- Promoted
Engineer
Thyssen Mining Construction of CanadaOntario, ON, CanadaStructural Engineer
Meridia Recruitment SolutionsOntarioCloud Engineer
asset worksOntarioCloud Engineer
eTeamRemote, ONElectrical Applications Engineer
SoloPoint SolutionsOntario, CAEnvironmental Planner / Engineer
Hydro One Networks IncON, CAInstrumentation Engineer
LaborintosOntario, CAHighway Engineer
McIntosh PerryOntario, CASenior Security Engineer
Magnet ForensicsOntario- Promoted
IP Validation Engineer
The Six SemiconductorOntario, Canada, CanadaSoftware Engineer
Confluent, IncOntario, CanadaPAUT Engineer
Goldbeck RecruitingOntarioFounding Software Engineer
Northeading TechnologiesOntario, CanadaSenior Software Engineer
Tony’s Fresh MarketOntario, CA- Mississauga, ON (from $ 87,500 to $ 180,463 year)
- Goderich, ON (from $ 50,466 to $ 170,798 year)
- Yarmouth, NS (from $ 59,650 to $ 166,524 year)
- Listowel, ON (from $ 72,900 to $ 162,135 year)
- Aylmer, ON (from $ 72,804 to $ 160,773 year)
- Norfolk, ON (from $ 75,473 to $ 158,825 year)
- Squamish, BC (from $ 66,407 to $ 157,624 year)
- Carleton Place, ON (from $ 84,228 to $ 155,984 year)
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MLOps Engineer
Motion RecruitmentON, Canada- Full-time
We are looking for an experienced MLOps Engineer in Canada to join a growing startup focused on building a lip-syncing tool to break down language barriers in advertising and the film industry.
Join a high-impact analytics and machine learning team focused on building scalable, data-driven solutions to improve operational efficiency, pricing strategy, and customer intelligence across international logistics and supply chains. This role is ideal for someone who thrives in a fast-paced, data-rich environment and is passionate about solving complex business problems using advanced modeling and analytics.
Required Skills and Experience :
- 3+ years of experience in data science, machine learning, or applied statistics
Proficiency in Python and common ML libraries (e.g., scikit-learn, XGBoost, PyTorch / TensorFlow)
Experience with cloud platforms (e.g., AWS, GCP) and ML Ops tools
Solid grasp of SQL and data manipulation in large datasets (Spark, BigQuery, or similar)
Strong understanding of statistical modeling, time series forecasting, and / or optimization algorithms
Prior work with pricing models, logistics, or real-time analytics is a strong plus
Excellent communication skills and ability to translate business needs into technical solutions
Develop and deploy predictive models for pricing, demand forecasting, and route optimization using large-scale, real-time data.
Analyze customer behavior patterns to drive retention, segmentation strategies, and lifetime value prediction.
Design and implement scalable data pipelines and production-ready ML systems in collaboration with data engineering teams.
Conduct A / B testing and causal inference to evaluate model impact and guide strategic decision-making.
Collaborate cross-functionally with product, operations, and engineering teams to identify opportunities for automation and efficiency.
Continuously monitor model performance , retrain as needed, and ensure alignment with evolving business objectives.
The Offer :
LI-CT2