AI/ML Engineer

Scribd, Inc. is on a mission to advance human understanding. Our four products - Scribd , Slideshare , Everand , and Fable - help billions of people across the globe move beyond access and into insight, application, and expertise. Culture at Scribd, Inc. We support a culture where our employees can be real and be bold; where we debate and commit as we embrace plot twists; and where every employee is empowered to take action as we prioritize the customer. We believe the best work happens when

Join a dynamic team as a Machine Learning Engineer focused on building, deploying, and optimizing intelligent solutions that support a wide range of business applications. This six-month opportunity offers the chance to work with modern machine learning tools, cloud technologies, and MLOps practices in a collaborative environment. Responsibilities Develop and improve machine learning models using supervised and unsupervised learning methods Apply neural networks and natural language processing

Job#: 3043683 Job Description: Hey, Pat from Everforth Apex Systems here, with a brand new spot. Working to find an ML Engineer that has made and deployed models into an Azure ecosystem. Position is remote and pays anywhere from 40-55/hr. As always from ai assistant Riley will give you a call, but if you think this is the perfect spot for you please drop your resume to for a direct line to me. Position starts off as a 6 month contract Machine Learning Engineer Location: Pleasanton, California

Machine Learning EngineerLocation: San Francisco, CA, USA (Hybrid/Remote) Job Type: Full-Time About the RoleWe are seeking an innovative Machine Learning Engineer to design, develop, and deploy machine learning models that solve real-world business challenges. You will collaborate with data scientists, software engineers, and product teams to build scalable AI-powered solutions. Key ResponsibilitiesDesign, train, and deploy machine learning models.Build data preprocessing and feature engineering