Top Machine Learning Jobs in Charlotte, NC

The AI/ML Product Analyst will collaborate with the Product Owner from ideation to launch, analyze business needs, and gather data to support business cases. Responsibilities include developing specifications, engaging in testing, and ensuring project deliverables meet requirements, particularly focusing on AI/ML products in a public health context.

The Product Management Leadership role involves guiding the product strategy and execution for Prism, overseeing the product lifecycle, making data-driven decisions, and ensuring alignment with market trends and client needs. Responsibilities include managing the product roadmap, conducting market research, analyzing performance metrics, and communicating progress to senior management.

As a Senior Distributed Systems Engineer (Machine Learning), you will develop and maintain high-quality, scalable AI solutions and services for a Machine Learning Platform. You will collaborate with product and engineering stakeholders to understand requirements, minimize deployment risks, and integrate AI innovations into product development, ensuring the delivery of tangible business value.

The Product Manager at ClickTime will support the product roadmap, gather insights from customers and market research, deliver product specifications and user stories, coordinate teams during development sprints, and analyze product metrics. The role requires experience in product management with a focus on customer needs and industry trends.

The Principal Predictive Analytics Consultant leads the analytics team in designing and delivering solutions like Automated Underwriting and Risk Scoring. Responsibilities include managing complex datasets, developing predictive models, ensuring solutions meet business objectives, and presenting findings to stakeholders.

The Solutions Architect will design and implement cloud architecture solutions focusing on Ubitus, Tencent Cloud, and AWS. Responsibilities include cloud services integration, providing technical leadership, collaborating with customers on AI requirements, and maintaining technical documentation. The role also involves customer engagement through workshops and training, alongside travel for support and industry events.

As a Software Engineer on the AI Decisioning team, you will design and build scalable backend systems and ML infrastructure, develop AI-driven features for decision automation, and collaborate with machine learning engineers to implement innovative techniques.

The Principal AI Research Scientist will lead innovative research in AI and machine learning, develop algorithms, manage R&D projects, and collaborate with academic and industry leaders. This role involves contributing to product vision and roadmap, conducting competitive analysis, and working closely with customers to align product offerings with their needs.