ML Ops Engineer

About Us At Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges. From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future. About the role: As a Senior MLOps Engineer within the Perception Deep Learn

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

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

At Apple, great ideas turn into phenomenal products, services, and customer experiences at a pace few companies can match. We are seeking a highly experienced ML Engineer to build, deploy, optimize and operationalize Small and Large Language Model (LLM)-based applications, with a strong emphasis on MLOps/LLMOps and scalable production systems. Description As an AI Engineer on our team, you will own the infrastructure and tooling that let LLM-powered features ship reliably at Apple scale: the