Top Machine Learning Jobs in Charlotte, NC

The Data Science/Machine Learning Director will lead machine learning projects, design ETL workflows, and analyze complex data for distressed companies. Responsibilities include data modeling, manipulation, visualization, and collaborating with C-level executives to drive impact.

As a Senior Vice President, you will lead machine learning projects, build ETL workflows, perform data analysis, and create data visualizations. You will collaborate with teams to enhance data processing and deliver impactful insights to clients.

As a Staff AI/ML Applied Engineer, you will build and deploy machine learning models for predicting creditworthiness, collaborating with cross-functional teams to drive financial inclusion. Your role includes coaching analysts and engineers, ensuring model accuracy and compliance in a remote environment.

The Machine Learning Engineer will develop and deploy machine learning models, engage with data science practices, and facilitate player interaction in a gaming context.

As a Solutions Architect, you will design and implement data solutions, provide thought leadership on technologies and solutions, and ensure model performance and scalability for machine learning applications.

The Sr. AI/ML Engineer will build scalable machine learning infrastructure, manage data systems, deploy applications, and collaborate across teams to support AI/ML product development.

The Senior AI Engineer will develop neural simulators for manufacturing, create AI models, and optimize robotic perception and control systems. They will leverage expertise in large-model training and software engineering in Python and ML frameworks.

The Senior Business Analyst analyzes requirements and liaises between business units and IT, focusing on AI solutions and project management.

Develop ML and AI solutions to improve health outcomes, working with large datasets and integrating AI technology into products.

The Senior Machine Learning Engineer on the Ads Engagement Modeling team at Reddit will develop and implement advanced machine learning models to predict ad engagement rates, collaborate on new feature development, conduct systematic feature engineering, and mentor team members. This role requires a strong background in deep learning frameworks and model lifecycles.

As a Senior ML Software Engineer, you'll design cloud solutions, enhance ML pipelines, and develop infrastructure for performance and reliability in a high-scale environment.

The role involves conducting research and development in generative models for audio, collaborating on model architecture, and prototyping solutions.

This internship focuses on applying generative AI in education, including fine-tuning models, developing evaluation frameworks, and analyzing AI outputs for learning effectiveness.

Design and implement machine learning solutions on cloud platforms, engage with customers to define requirements, and oversee project delivery from inception to deployment.

The Technical Sales Engineer will leverage AI and ML to develop solutions, engage clients, conduct presentations, and oversee project implementations, ensuring alignment between client needs and Leidos' offerings.

Develop and implement machine learning algorithms, analyze datasets, and mentor team members while collaborating with product managers to refine predictions.

Develop applied ML models and end-to-end pipelines, optimize deep learning runs, clean data, and deliver insights to stakeholders.