Top Machine Learning Engineer Jobs in Chicago, IL

As a Machine Learning Engineer, you will develop large-scale distributed training pipelines, optimize low-latency inference systems, and collaborate with researchers and engineers to enhance ML frameworks, ensuring real-time predictions and maximizing GPU acceleration.

As a Machine Learning Engineer, you will design and implement machine learning applications and systems, ensuring their performance and availability. You'll collaborate with various teams to solve business problems using ML models, develop and validate these models, and manage code quality and best practices in AI.

As a Machine Learning Engineer at ZS, you will build and monitor model pipelines, scale ML algorithms for massive datasets, implement MLOps, write production-ready code, and collaborate with teams to deliver high-quality AI solutions and products.

As a Machine Learning Engineer at ZS, you will build and monitor model pipelines, enhance ML engineering platforms, implement ML Ops for model tracking, and produce scalable machine learning algorithms while collaborating with client teams to deliver high-quality projects.

The role involves building self-service components for a machine learning platform, improving cloud infrastructure, collaborating with technical teams, and ensuring effective deployment processes while leading best practices in software development.

The Application Engineer will oversee the design and implementation of products, manage risks and customer-impacting issues, analyze and deploy new user stories and product features, provide mentorship to junior engineers, and maintain IT standards and architecture compatibility.

The Senior Machine Learning Engineer will design and implement machine learning models, conduct experiments, and maintain scalable infrastructure. Responsibilities include mentoring junior members, modernizing data products, and ensuring data quality in a cross-functional environment.