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 Develop machine learning pipelines. Build
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
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 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 Develop machine learning pipelines. Build
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
Elevate your career as a Machine Learning Engineer focused on the energy industry. Utilize your expertise in developing and deploying ML models for predictive maintenance and energy demand forecasting. In this role, you will be responsible for creating
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
• Create and maintain CNC Programs and associated log files for all shop floor CNC machines, utilizing CATIA V5, ICAM, NCSimul, Crash Guard Studio (WFL) and MSOffice software. • Implement Laser Tool Measuring on appropriately equipped machines. •
About Us The Miller Group, a subsidiary of Colas Canada, is a Canadian leader in the construction and maintenance of transportation infrastructure since 1917. We provide exceptional customer service and operational support using our time-proven
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
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
About Us The Miller Group, a subsidiary of Colas Canada, is a Canadian leader in the construction and maintenance of transportation infrastructure since 1917. We provide exceptional customer service and operational support using our
About Us The Miller Group, a subsidiary of Colas Canada, is a Canadian leader in the construction and maintenance of transportation infrastructure since 1917. We provide exceptional customer service and operational support using our
About the Company Our client is a leading Canadian energy organization with a strong presence across Ontario. They operate critical infrastructure that supports millions of customers and drives economic growth. Why Work Here Our client is
Are you a detail-oriented individual with a passion for research and a good understanding of national and local geography? This freelance opportunity allows you to work at your own pace and from the comfort of your
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
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
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
About The Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Business Analytics tutors nationally. As a tutor on the Varsity Tutors Platform, youll have the flexibility to set your own schedule,
About The Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Mechanical Engineering tutors nationally. As a tutor on the Varsity Tutors Platform, youll have the flexibility to set your own schedule,