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Machine Learning Jobs in Saskatchewan

1 - 15 of 25
1 - 15 of 25
Search Results - Machine Learning Jobs in Saskatchewan
Rackspace Technology-Regina
We are expanding our team of motivated technologists with a proven track record of delivering results in technology consulting. We are looking for a Machine Learning Architect with experience in cloud (AWS preferred) who is passionate about helping...
Health Careers in Sask-Regina
decisions. Experienced in applying AI/machine learning to complex healthcare problems. Patient-Centered & Outcome-Focused Approach Deep commitment to using data to improve patient outcomes and health equity. Experience...
jobillico.com -
Instacart-Regina
connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview About the Role: This is a general posting for multiple Sr. Machine Learning roles open across our 4-sided marketplace...
Replicant, Inc-Regina
of AI calls per month in production, and are increasing our footprint globally. The Machine Learning team empowers enterprise customers and developers on Replicant’s platform to help create delightful conversations that provide fast and effective...
Upwork-Saskatoon
companies. They provide AI-enabled software platforms and managed services for AI data collection/annotation, AI digital transformation, and industry-specific business processes. They are seeking freelancers with a PhD in Computer Science, Machine Learning...
Autodesk, Inc.-Saskatoon
Requisition ID #**25WD91190**Position Overview**We are seeking a skilled and motivated Data Analyst with a strong background in data analyst and entry-level experience with machine learning. The ideal candidate will be responsible for analyzing complex...
Affirm-Regina
This is a high-impact role focused on making prudent decisions that drive profitable growth. What You’ll Do  •  Apply and develop AI-powered, machine learning models to simulate and analyze risk on Affirm’s loan portfolio  •  Ideate, validate, implement, and track...
TELUS Digital AI Data Solutions-Regina
the machine learning models of some of the world’s largest brands. Qualification path No previous professional experience is required to apply to this role; however, working on this project will require you to pass the basic requirements and go through a standard...
MercadoLibre-Regina
liderança. De aplicativos móveis até machine learning, nossa inovação tem um foco claro: simplificar a vida de quem usa nossos produtos.**Nós lhe propomos:*** Ser parte de uma empresa com espírito empreendedor, na qual adoramos pensar grande e em longo prazo...
ZipRecruiter-Saskatoon
As a member of DataAnnotation’s coding team, you’ll be part of a growing community of over 100,000 professionals — including front-end, back-end, full-stack, machine learning, and other engineers — who are driving real-world impact in AI development. Our...
Promote Project-Saskatoon
Oversee the planning and deployment of advanced data products (machine learning models, LLM powered applications).  •  Provide a technical perspective on organizational objectives within the team’s scope of activities. Analyze requirements, identify areas...
Block, Inc-Saskatoon
Engineer on the Credit Underwriting Team, you will design, build, and own underwriting services that leverage data and machine learning to originate and approve a variety of lending products. You will work with internal teams iterating on existing loan...
MongoDB-Regina
code parsers to transform legacy code structures using techniques such as AST, into standardized formats  •  Collaborate with AI researchers and machine learning engineers to understand data needs; identify and address performance bottlenecks...
BioRender-Saskatoon
what we expect from someone extraordinary:  •  Technical Chops : You’ve got a solid foundation in machine learning concepts (e.g., neural networks, supervised/unsupervised learning) and proficiency in Python and building fullstack products that leverage...
Kraken-Regina
infrastructure, and enabling teams across the company to access clean, consistent, and timely data. You’ll work with modern technologies and large-scale datasets, playing a key role in making data accessible for analytics, machine learning, and product innovation...
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