Top Machine Learning Jobs in Charlotte, NC

Design and implement REST APIs for AI/ML services. Optimize databases on AWS for low latency, and improve system reliability and security.

Develop and refine AI algorithms to create immersive 3D worlds, collaborate across teams, optimize performance, and lead innovation in AI integration.

Lead the design, development, and optimization of ML systems using generative models. Collaborate with research to improve models and productionize solutions.

The Sr. Product Manager will oversee the entire product lifecycle for AI-driven pricing solutions, collaborating with various teams to integrate AI/ML capabilities and optimize customer revenue strategies.

The Senior Staff Machine Learning Engineer will lead machine learning projects, collaborating with teams to develop and deploy models that enhance the user experience and improve business growth.

The Senior Machine Learning Engineer will design and implement AI solutions, partner with engineering teams, and drive generative AI adoption to enhance customer experiences and internal operations.

Drive high-impact projects in marketing optimization through machine learning. Build and maintain ML systems, collaborate cross-functionally, and ensure successful product delivery.

As a Machine Learning Engineer at Craft, you'll manage end-to-end ML projects, integrating solutions with data pipelines, and championing MLOps within the team. Your role involves collaborating with engineers and stakeholders, designing maintainable software, and staying updated on ML trends, leveraging your production experience in ML models and anomaly detection.

Lead a team of data scientists to develop machine learning models for real-world data in healthcare, while managing AI/ML projects and collaborating with stakeholders.

Lead strategic sourcing efforts for AI and generative AI products, improve governance processes, and enhance procurement practices within a remote team.

Develop and deploy machine learning models to detect fraud and enhance decision-making, collaborating with cross-functional teams on implementation.

The Machine Learning Engineer will develop and maintain scalable ML pipelines, design frameworks for model experimentation, and collaborate with data scientists to operationalize models in a clean energy environment.

Design and optimize machine learning infrastructure for deployment, monitoring, and maintenance. Collaborate with teams to enhance performance and ensure reliability in production environments.

Lead the data, machine learning, and application platforms at Socure, defining strategy, managing teams, and ensuring compliance for identity verification solutions.

The ML Engineer will work on AI and computer vision projects, utilizing techniques in machine learning and deep learning for innovative product development.

The Senior ML Engineer will lead data architecture, implement AI tools, ensure data security, and collaborate with teams to drive technical initiatives.

As a Machine Learning Engineering Intern, you will drive a project related to ML advancements in search relevance and personalization, collaborating closely with a team and stakeholders to achieve project milestones.