ML Engineer (BFSI) Job Title: Machine Learning Engineer Position Overview: The ML Engineer will develop, deploy, and optimize machine learning solutions supporting fraud detection, risk analytics, customer intelligence, and financial forecasting. Key Responsibilities: Develop machine learning models and
Become a Lead Machine Learning Engineer with Affirms Fraud ML team, specializing in real-time fraud prevention systems. This remote position in Canada offers impactful challenges. As part of Affirm, youll leverage your 6+ years of experience to
Be a key player at Affirm as a Software Engineer focusing on Machine Learning. Collaborate to build robust platforms that enhance user experience and data availability remotely. Affirm is on the lookout for a Software Engineer
Start your career at Ontario Power Generation (OPG) as a Junior AI Engineer based in Oshawa, ON. This hybrid role allows you to enhance AI/ML capabilities and data integration. As a full-time professional, you will report to
Status: Permanent Full Time Working Conditions: Hybrid Education Level: 4-Year University degree in Computer Science, Software Engineering, or a related field. Base Location: Oshawa, ON Shift: Days Travel: 10% Deadline to Apply: June 3, 2026 Salary
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. On the ML Fraud team, you’ll build and improve
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. About The Finance Team The Finance team ensures
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. On the ML Fraud team, you’ll build and improve
Experience Level: Expert (15+ years or niche expertise) Role Description We are looking for a Senior Software Developer to support the Cyber Security portfolio within Cyber Data Risk & Resilience (CDRR). The consultant will contribute to
Job Title: MLOps Engineer Position Overview: The MLOps Engineer will establish scalable machine learning operations frameworks and automate the deployment, monitoring, and governance of AI models. Key Responsibilities: Build ML deployment pipelines. Implement CI/CD for machine learning
Job Title : Machine Learning Engineer (Energy) Industry Energy & Utilities Position Overview The ML Engineer will develop and deploy machine learning models supporting predictive maintenance, energy demand forecasting, asset optimization, and renewable energy production analytics. Responsibilities
Job Overview Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. Join the affirm team as a
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. ML Feature Platform is one of the two teams
The Opportunity “As a Senior Engineer on our Applied AI team, you will be at the forefront of building AI-powered software that transforms how our platform operates. You will design, build, and maintain production-grade applications and
About the role In this role, you will architect and deliver perception systems that power intelligent robotics solutions for enterprise clients - from sensor fusion and computer vision to real-time AI pipelines running at the edge
Job Title: Machine Learning Engineer Location: Remote- Canada Duration: Contract Rate : CAD$100-110/hr INC What Youll Do Architect and implement advanced deep learning models for multimodal recommendation systems, processing diverse data types including text, images, user