MLOPs Engineer

Responsibilities:Deploy and maintain machine learning models in development and production environments.Build and maintain CI/CD pipelines for ML applications.Work withGit, Docker, Kubernetes, and cloud platforms such as AWS/Azure/Google Cloud Platform.Automate model training, testing, deployment, and monitoring workflows.Monitor model performance, application logs, and infrastructure.Manage ML pipelines and datasets.Collaborate with data scientists, ML engineers, and software developers.Trouble

Who We Are Baton is Ryder's in-house product development group focused on harnessing emerging technologies to redefine transportation and logistics. With $10B in freight under management, our technology reaches every part of the U.S. economy. We design and ship category-defining software that enables Ryder and its 50,000+ customers-including some of the world's most well-known brands-to plan and execute freight intelligently, efficiently, and cost-effectively. Our work includes everything from

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

Job Title: Machine Learning Engineer Role Overview We are seeking an experienced and driven Machine Learning Engineer to design, build, and optimize scalable machine learning models that drive intelligent applications. In this role, you will develop advanced algorithms, implement natural language processing (NLP) solutions, and streamline the end-to-end model lifecycle from research to production. This is a hands-on technical role where you will leverage your expertise in supervised/unsupervis