Top Machine Learning Jobs in Charlotte, NC

As a Sr Staff Data Scientist, you will lead teams to develop AI solutions in healthcare, focusing on medical imaging and data analysis, while collaborating with cross-functional teams to translate algorithms into viable products.

The DeFi Researcher will perform quantitative research, develop predictive models, manage client success, and publish insights in the DeFi space.

As Principal Data Scientist, develop data science strategies, oversee model development, analyze data trends, collaborate with stakeholders, and enforce best practices in methodologies.

Lead AI strategy and implementation collaborating with teams to align AI solutions with business objectives and drive innovation.

The Senior Customer Onboarding Manager will lead client onboarding for Pacvue’s SaaS platform, ensuring effective integration and utilization while driving measurable outcomes and operational excellence.

As an Enterprise Account Executive, you'll build relationships with AI/ML stakeholders, manage sales cycles, and drive account growth through effective prospecting and collaboration.

Design and deploy machine learning algorithms, build scalable systems, and collaborate with teams to optimize ML solutions for healthcare.

Lead and mentor a team of engineers in developing machine learning systems for search, integrating advanced technologies like RAG and LLMs to enhance user experience and engagement.

The Senior/Staff Machine Learning Engineer will design scalable data pipelines, implement ML algorithms, and work on microservice architectures for ad optimization.

As a Machine Learning Engineer, you'll design scalable data pipelines, implement ML algorithms, and collaborate with data scientists and engineers at StackAdapt.

The Solutions Engineer will support customer technical needs, providing pre-sales and post-sales technical support, training, and recommendations to enhance customer satisfaction and sales performance.

The Product Manager will lead product development at Jarvis ML, focusing on user experience and team collaboration to solve customer problems.

Lead cross-functional product initiatives by defining strategies, managing teams, and mentoring engineers for product delivery in a complex environment.

Senior Machine Learning Engineer responsible for developing ML solutions to optimize ad performance, collaborating with cross-functional teams, and mentoring junior engineers.

Lead the data architecture strategy and implementation using AWS technologies while integrating Machine Learning, AI, and real-time data streaming solutions. Collaborate across teams to ensure data-driven initiatives align with business goals and maintain high performance and scalability of data solutions.

The Manager of Data and Analytics leads data initiatives, analyzing data to drive business decisions, collaborating across teams, and mentoring analysts.

Collect video data and perform quality assurance for AI models by recording daily activities and labeling machine-learning data. Flexible hours available, but a minimum of 30 hours per week is desired.