Top Entry Level Machine Learning Jobs in Louisville, KY

As an AI/ML Data Contributor, you'll perform data labeling, content evaluation, and user testing to improve machine learning models while participating in various projects.

The AI/ML Data Contributor will perform data labeling, annotation, and evaluation for machine learning projects, following guidelines and completing tasks on time.

Join Invoca's Talent Community to stay updated on job openings and to explore exciting career opportunities across various departments.

The AI/Machine Learning Specialist designs and implements AI solutions, collaborates with cross-functional teams, and continuously improves ML processes.

The Research Scientist II will apply data science and machine learning to advance materials informatics, managing research projects and collaborating with various institutions to drive innovation.

The Enrollment Advisor helps prospective patients through the onboarding process, providing information and support throughout their enrollment in Revero's program.

The role involves data labeling, content evaluation, and testing to enhance machine learning models, with flexible participation options.

As an AI/ML Data Contributor, you will perform tasks like data labeling, content evaluation, and user testing, contributing to machine learning models.

The Forward Deployment Engineer will deploy and optimize Generative AI solutions on-site, collaborating with engineering teams to operationalize AI systems across multi-cloud platforms.

The Data & Analytics team at Surescripts transforms healthcare data into actionable insights, collaborating with various stakeholders to support critical decisions across the healthcare ecosystem.

Participants are needed for an AI technology research study, offering compensation up to $600 for ~1.5-2 hours of participation over one week, requiring skills in tech-related roles.

Transfyr seeks adaptable builders for various roles across CS, biology, and business. Responsibilities include developing sensor stacks, data harmonization, computer vision, machine learning systems, lab operations, project management, and business development.