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Engineer • gananoque on
MLOps Engineer
Motion RecruitmentON, CanadaFull Stack Engineer
Opencare IncON, CAEnvironmental Engineer
STRABAG INCON, KanadaSystems Software Engineer
Diagnostic Solutions InternationalOntario, CASr Data Engineer
Thermo Fisher ScientificOntario, CanadaProject Engineering
Integra PersonnelOntario, CA- Promoted
Engineer
Thyssen Mining Construction of CanadaOntario, ON, CanadaDigital Cultivation Engineer Horticulture
CeresRecruitmentOntario, CanadaFullstack Engineer - Ads Signals
redditRemote, Ontario, CanadaNuclear Engineer
NavyPittsburg, CanadaData Privacy Engineer
Saint Elizabeth Health CareOntario, CanadaL2 Deskside Support Engineer
Tata Consultancy ServicesOntario, CA(Remote) Senior Software Engineer
Systems & Software, Inc.Ontario, CanadaSalesforce Dev Ops Engineer
BarracudaOntario, CanadaSales and Application Engineer (Ontario)
iLink Global Recruiting Inc.OntarioHighway Engineer
McIntosh PerryOntario, CAPrincipal Software Engineer
ServiceTitanCanada OntarioDevOps Engineer Co-op
Procor LimitedOntario, CASenior Design / Development Engineer
Nett TechnologiesOntario- Promoted
IP Validation Engineer
The Six SemiconductorOntario, Canada, Canada- 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