Top Machine Learning Jobs in Raleigh, NC

The Manager of Digital Transformation will develop and implement a digital strategy aligned with company goals, lead transformation projects, collaborate with stakeholders, assess and integrate technologies, manage change, utilize data analytics for decision-making, and foster a culture of innovation.

As a Senior Presales Solutions Architect at Udacity, you will collaborate with sales and customer success teams to align tech training solutions with customer business goals. Your role involves engaging with prospects throughout the sales process, delivering technical insights, and building relationships with key stakeholders to drive revenue growth.

The Customer Success Manager/Senior Customer Success Manager at Viz.ai is responsible for enhancing customer relationships, optimizing the use of Viz.ai technology, and ensuring clinical, financial, and operational success for healthcare clients. The role involves training users, monitoring engagement, driving contract renewals, and expanding the business within existing accounts.

As a Senior Data QA Engineer, you will ensure data accuracy and reliability within healthcare systems, develop QA processes, validate data integrity, and utilize machine learning for automation. You will collaborate with data scientists and engineers to enhance data quality, perform audits, and guide teams on QA best practices.

The Senior Product Manager will lead initiatives to enhance data collection and intelligence for energy data, identify use cases, scope solutions, launch products, and collaborate with various stakeholders to deliver effective solutions for customers in the clean energy sector.

The Technology Partner is a leadership role focused on providing technology expertise in Data and Insights solutions, engaging with clients for transformative initiatives, creating technology solutions, overseeing engineering talent, and enhancing data management practices. The role combines strategic advisory, mentoring, and pre-sales responsibilities to drive business value through advanced analytics.

The role involves analyzing business requirements, constructing data flow processes, consulting on design reviews, and developing Business Intelligence strategies. The consultant will also manage client issue escalations, lead validation for data quality, and work with cross-functional teams to implement scalable solutions.

The Technical Project Manager will oversee and manage the successful delivery of projects, ensuring they meet timelines and desired outcomes. This role involves orchestrating various project activities, guiding the product road map, and managing stakeholders across multiple teams while utilizing agile methodologies.

The Technical Director for Machine Learning Engineering will lead the Advanced Analytics and ML Services team at Epic Games, guiding the technical direction and implementing scalable solutions for real-time and batch workloads, while mentoring Data Scientists and engineers, and collaborating with cross-functional teams.

Design and deploy scalable search ranking algorithms to improve the matching experience for clients and providers. Collaborate with data scientists on feature extraction and model optimization while managing data pipelines and A/B testing.

The Sr. Manager of Logistics Engineering at Moderna will oversee the development and implementation of cold chain and supply chain visibility initiatives, ensuring product compliance and operational excellence. Responsibilities include liaising with stakeholders, training staff, and leading logistics projects to enhance performance and ensure adherence to industry regulations.

The VP of Technology will lead the development of intelligent software solutions and machine learning applications for battery technology at Electra Vehicles. Responsibilities include setting the technology strategy, mentoring the technology team, ensuring timely delivery of product features, and driving innovation in a fast-paced environment.

The Staff Data Scientist will collect, analyze, and optimize big data while contributing to the organization's Big Data Strategy. Responsibilities include building predictive models, creating visualization dashboards, and collaborating with cross-functional teams to drive data-driven solutions. The role emphasizes continuous learning and innovation in data science methodologies.

As a Senior Software Engineer on the MLOps team, you will design and develop complex software systems, lead technical projects, mentor junior engineers, and implement cloud solutions while ensuring software quality and security compliance.

The ML/AI Engineer will design and implement ML/AI models, develop computer vision algorithms, work with diverse datasets, contribute to MLOps workflows, and utilize GIS and 3D modeling tools. This role involves collaboration, continuous learning, and providing mentorship in a hybrid work environment.

As an AI Research Intern at Curai Health, you will collaborate with experienced researchers to advance machine learning applications in primary healthcare, potentially leading to publications. Interns will engage in solving complex problems and can enjoy a flexible, remote work environment.

The AI Experience Architect will lead the design and development of AI-driven interactive experiences, focusing on user engagement through storytelling and innovative technology. Responsibilities include conceptualizing and executing applications, optimizing machine learning models, and collaborating with various teams to ensure brand alignment and user-centric designs.