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 construct and
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
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
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
Contribute to fraud prevention as a Machine Learning Engineer II with Affirm in a flexible remote setting. Your role centers on safeguarding transactions through advanced machine learning models. This position calls for candidates with over 2 years experience or a PhD
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
Number of Vacancies: 1 Duration: 12 months Hours of work: 35 per week Location: Oshawa, ON (Hybrid, 2 day in office - 3 days remote) Resume Due Date: Tuesday, June 9th, 2026 (5:00PM EST) Job Overview
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 pipelines. Build feature engineering frameworks. Deploy production-grade
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 workloads. Automate model retraining and
Job Title : MLOps Engineer (Energy) Industry Energy & Utilities Position Overview The MLOps Engineer will establish and manage scalable ML infrastructure, ensuring efficient deployment, monitoring, governance, and lifecycle management of machine learning solutions. Responsibilities Build ML deployment pipelines. Implement
A leading financial technology firm is seeking a Senior Staff Machine Learning Engineer to lead the machine learning strategy and mentor the engineering team. You will drive the design and scaling of advanced ML systems to ensure alignment with organizational priorities,
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 with 1.5+ years in
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 agentic
AI Engineer / Cloud Engineer Core Stack: AWS Bedrock AgentCore • Azure AI Foundry • MCP Governance Function: Foundations / Infrastructure & Operations Level: Senior / Staff Type: Full-time Location: Remote / Hybrid Reports to: Director, AI Architecture
We are currently requesting resumes for the following position: Data Engineer Resume Due Date : Friday, October 10, 2025 (5:00PM EST) Job ID : 25-167 Number of Vacancies : 3 Level : MP4 Duration : 12 Months
We are currently requesting resumes for the following position : Data Engineer Job ID: 25-167 Resume Due Date: Tuesday June 9th 2026 (5:00PM EST) Number of Vacancies: 1 Duration: 12 Hours of work: 35 Pay Range: $85-$100/hr,
Scribendi is seeking a Senior Full-Stack Engineer to build AI-driven products that empower researchers worldwide. You will work across the full stack to deliver scalable, high-performance applications and help develop agentic AI systems and intelligent collaboration tools
Data Analytics Architect Remote. Contract 15 Years and above,. Citizen and PR only due to the nature of the work. Only Immediate Joiner. Job Summary We are seeking an experienced Data Analytics Architect to design, develop,
Job Description Hybrid: This role is categorized as hybrid. The successful candidate is expected to report to the GM Global Technical Center in Warren, MI or Mountain View, CA three times per week, at minimum. Why