Machine Learning Engineer Jobs in Longueuil, QC (1,099)
Staff Software Engineer, Machine Learning Platform
Machine Learning Engineer
Machine Learning Engineer
Lead Machine Learning Engineer
Machine Learning Engineer (Pipeline Developer)
Machine Learning Engineer - IV (Biometrics)
Applied AI, Forward Deployed Machine Learning Engineer
Machine Learning/Operations Research Platform Engineer
Applied AI, Forward Deployed Machine Learning Engineer
Senior Data Scientist - Computer Vision
Data Scientist II
Data Scientist
Oliver Wyman - Sr. Lead Data Scientist or Principal Data Scientist
Senior Data Scientist
Senior Security Data Scientist
Senior Generative AI Software Engineer
Senior Data Scientist
Data Scientist II
Senior Data Scientist
Machine Learning Platform Engineer
Staff Machine Learning Engineer
Data Scientist
Data Scientist - Synechron
Data Scientist - montréal
Kinaxis Machine Learning & Operations Research Engineer
Machine Learning Engineer for Healthcare AI
Machine Learning Engineer At Nokia
Machine Learning Software Engineer - $150,000 - $250,000 A Year
Machine Learning Engineer - $126,000 - $196,000 A Year
Machine Learning Engineer - C$119,600 - C$167,300 A Year
Senior Machine Learning Engineer - C$80,000 - C$160,000 A Year
Sr. Machine Learning Engineer (Perception And Tracking) - $162,000 - $180,000 A Year
Senior Staff Machine Learning Engineer, (Ml Underwriting) - $206,000 - $256,000 A Year - Remote
Job Description
Working as a Machine Learning Engineer in Longueuil, QC
There are 1,099 Machine Learning Engineer opportunities available in Longueuil, QC 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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