Top Senior Level Machine Learning Jobs in Birmingham, AL

As a Principal Software Engineer in AI/ML Integrations, you will design, develop, and deploy AI & ML integration pipelines within the elluminate platform. Collaborate with data science teams to streamline data management and analytics for clinical trials, while ensuring scalability, performance, and security. Contribute to architectural decisions and mentor junior engineers in a collaborative environment.

The Senior Machine Learning Engineer at Wasabi will advance AI technologies, develop computer vision algorithms, and implement NLP model fine-tuning. This role involves collaborating with teams for seamless machine learning integration, conducting testing, debugging, and ensuring reliable system operations.

As a Senior Machine Learning Engineer at Samsara, you'll develop ML solutions for physical operations, driving new initiatives and optimizing systems. Collaborate with engineering teams to create end-to-end ML applications while influencing industry practices and contributing to company culture.

As a Senior Machine Learning Engineer, you will design data pipelines, develop machine learning models, and collaborate with various teams to integrate ML capabilities into products. You will also train others, conduct experiments to validate outcomes, and serve as a thought leader in data-driven innovations.

The Staff Machine Learning Engineer will lead a team focusing on Generative AI and Recommendations, enhancing AI product infrastructure. Responsibilities include developing algorithms, collaborating with product managers, and driving technical direction within a high-impact organization.

As a Staff Machine Learning Data Scientist, you will lead the development of machine learning tools for patient data, integrating insights from diverse stakeholders, and conducting complex analyses in cloud environments. You'll collaborate with experts to provide innovative solutions and generate novel clinical insights from extensive patient data.

The Senior MLOPs Engineer will architect and optimize ML inference platforms, handling all aspects of development and operations. They will work with cross-functional teams to achieve business objectives through engineering solutions, mentor team members, and ensure the effective deployment of models via scalable inference systems.