You will design, build, and optimize the foundational data infrastructure that powers Tempus's most advanced generative AI models, playing a pivotal role. Your work will directly enable the training and deployment of robust, production-ready multimodal systems that analyze complex data types to improve patient care, optimize clinical workflows, and accelerate life-saving medical research. This is a critical, high-impact position.

As an AI/Machine Learning Engineer, you will lead the development and deployment of advanced machine learning models and AI solutions. You will collaborate with cross-functional teams to drive innovation and deliver impactful AI-driven products. You’ll apply AI/ML expertise to solve meaningful challenges in federal programs, driving innovation in healthcare, veterans’ services, and more.

We are seeking a highly skilled AI Engineer to play a key role in advancing our AI-driven platform and client solutions. The ideal candidate has 4+ years of hands-on ML experience beyond academia, thrives in fast-paced environments, and enjoys solving complex technical challenges. A strong foundation in cloud-based ML solutions, AI model deployment, and optimization techniques is essential.

As a Machine Learning Engineer within the Data Acquisition Team, you will play a critical role in bringing your ML expertise to Zus. You will be responsible for using your prior experience with large language models (LLMs) and MLOps to develop, deploy, and optimize solutions in collaboration with DA software engineering. You will conduct research to explore new methodologies and techniques, and integrating them into our product offerings.

We are looking for a highly motivated Mid-level Machine Learning (ML) Engineer to join our growing AI Center of Excellence, responsible for using machine learning to drive innovation across the organization. You will leverage data to solve business problems, experiment with and deploy ML models, and build ML engineering infrastructure.

Solve complex problems at G-P as a Senior Cloud AI Engineer, contributing to the design and development of cloud-based software products using Agile methodologies and modern frameworks. You will collaborate with data scientists and engineers to containerize, deploy, and maintain machine learning models and APIs within our cloud infrastructure, and lead the design and development of cloud-native applications and services, using AWS offerings.

Seeking a skilled Machine Learning (ML) Tech Lead with a strong background in Large Language Models (LLMs) and AWS Cloud services to oversee the development and deployment of cutting-edge AI solutions while managing a team of 5-10 engineers, demanding hands-on technical expertise, strategic planning, and team management capabilities to deliver innovative products at scale.

As a Senior Machine Learning Engineer, you’ll play a key role in developing and integrating cutting-edge AI solutions—including LLMs and AI agents —into Enable's products and operations at a leading SaaS company. You’ll collaborate closely with product and engineering teams to deliver innovative, high-impact systems that push the boundaries of AI in rebate management.

Train, fine-tune, and deploy machine learning models within an API-driven environment, ensuring scalability and optimal performance. Design and implement modeling and optimization techniques for deep learning models and production-ready pipelines. Implement monitoring and evaluation frameworks to ensure model quality and reliability.