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Data science • gananoque on
MLOps Engineer
Motion RecruitmentON, Canada- Promoted
Data Entry Clerk Work From Home - Part Time Focus Group Panelists
ApexFocusGroupGananoque, Ontario, CanadaSystems Software Engineer
Diagnostic Solutions InternationalOntario, CAProject Coordinator OR Project Manager, Building Quality Assurance
McIntosh PerryOntario, CATechnical Sales Manager
DBSync IncON, CA- Promoted
Land Representative
LandSolutions IncOntario, ON, CanadaDigital Cultivation Engineer Horticulture
CeresRecruitmentOntario, CanadaGuidewire Developer
E-SolutionsOntarioMedical Science Liaison - Ontario - Specialty ProductsMedical Science Liaison
Bausch & LombOntario, CanadaSenior Developer (Data)
Farm Credit CanadaVarious FCC office s in Ontario may be consideredHomeless Individuals and Families Information System (HIFIS) Community Coordinator (York Region)
Ontario Municipal Social Services AssociationYork Region, CA- Promoted
Registered Nurse (RN) - Pittsburgh
RhynoCarePittsburgh, ON, CanadaData Modeler
ShoreWise ConsultingOntario, CASr. SharePoint Developer
Medavie Blue CrossON, CA- Promoted
Sr. Lab Analyst, LC-MS / MS Operator
Pharma Medica Research Inc.Ontario, ON, CanadaSenior Backend Engineer - Ad Signals
redditRemote, Ontario, CanadaSenior Data Scientist II
LexisNexis Canada Inc. CompanyOntarioJPC -1453 - Business Systems Manager
ITS GlobalOntario- Medicine Hat, AB (from $ 117,476 to $ 290,500 year)
- Stony Plain, AB (from $ 72,682 to $ 275,077 year)
- Markham, ON (from $ 83,306 to $ 272,875 year)
- Cambridge, ON (from $ 130,453 to $ 265,000 year)
- Winnipeg, MB (from $ 65,915 to $ 245,000 year)
- Waterloo, QC (from $ 98,638 to $ 235,040 year)
- Waterloo, ON (from $ 98,638 to $ 235,040 year)
- Thunder Bay, ON (from $ 111,029 to $ 231,425 year)
- Glace Bay, NS (from $ 111,029 to $ 231,425 year)
- Saguenay, QC (from $ 161,038 to $ 218,150 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