Machine Learning Engineer Jobs in Calgary, AB (492)
Kinaxis Machine Learning & Operations Research Engineer
Software Engineer – UAV Systems Development
Senior Java Software Engineer
Software Engineer
Software Engineer
Software Engineer
Join BigGeo as a Spatial AI Engineer
Backend Software Engineer - Varicent
Embedded Software Engineer Calgary
Ambyint Senior Software Engineer
Software Engineer at Athennian
AI Red Team Principal Engineer Role
Software Engineer for Industrial Automation
TELUS Digital Senior Software Engineer
Cybersecurity Automation Software Engineer Position
Machine Learning Platform Engineer
Toronto Remote Machine Learning Engineer
Senior Software Engineer, Core Experiences - Calgary, Canada
Investment Director(AI)
Senior Staff Machine Learning Engineer, (Ml Underwriting) - $206,000 - $256,000 A Year - Remote
Senior Data Scientist - C$136,000 - C$184,000 A Year
Senior Data Scientist & Ai Engineer (8+ Yrs) - C$70,000 A Year
Senior Software Engineer - Canada - C$120,000 - C$150,000 A Year - Remote
Senior Platform Ml Engineer - Real-Time Fraud Detection - C$120,000 - C$150,000 A Year
Java Software Engineer - C$60,000 - C$150,000 A Year
Senior Platform Engineer: Real-Time Ml For Fraud (Remote) - C$120,000 - C$150,000 A Year - Remote
Senior Platform Engineer: Real-Time Ml For Fraud (Remote) - C$120,000 - C$150,000 A Year - Remote
Senior Development Manager, Expense Management - C$181,600 - C$272,400 A Year
Staff Software Engineer, Machine Learning Platform
Language Data Scientist - Up To C$120,000 A Year - Remote
Platform Engineer (Software)
Machine Learning Architect (Aws) - Canada - $153,000 - $244,700 A Year - Remote
Ai/Ml Platform Software Developer - C$121,000 - C$159,000 A Year
Job Description
Working as a Machine Learning Engineer in Calgary, AB
There are 492 Machine Learning Engineer opportunities available in Calgary, AB all with unique requirements.
Machine Learning Engineers use automation and algorithms to optimize operations, maximize the efficiency of business processes. Responsibilities include designing, developing, and implementing systems using machine learning models such as neural networks, Bayesian networks, decision trees, support vector machines, and Hidden Markov Models. They use their programming skills to introduce logic into decision-making processes. These systems are used to improve manufacturing output; product development processes; logistical processes; communications; fraud detection; loan underwriting; credit risk prediction; medical diagnosis and treatment selection; security screening of subjects such as prisoners or immigrants seeking access to sensitive areas such as airports or courtrooms.
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