Top Machine Learning Jobs in Charlotte, NC

The Sr. AI/ML Engineer III will analyze complex datasets, apply machine learning techniques, present results, and lead technical design and support for identity management systems. They will also engage with federal leadership, providing expertise in security architecture and data solutions, specifically in a cloud environment using AWS and graph data science techniques.

The Senior Big Data Engineer will develop scalable batch processing systems using the Hadoop ecosystem and manage Machine Learning pipelines. The role requires strong programming skills in Java and Python, knowledge of GCP for data processing, and extensive experience in engineering complex systems. The candidate should excel in remote collaboration and maintain effective communication with team members.

As a Sr. ML Ops Engineer, you'll develop and maintain scalable ML pipelines, automate workflows, monitor and optimize model performance, collaborate with teams, ensure compliance, and document ML processes and performance.

As a Senior Machine Learning Engineer, you will design and develop machine learning applications, conduct experiments, work collaboratively with engineers, engage with clients, and mentor project teams, focusing on practical AI solutions for clients.

Design and implement machine learning solutions for a Conversational AI platform and new product. Collaborate with cross-functional teams to architect scalable ML systems. Stay updated on the latest ML technologies and incorporate them into solutions.

As a Staff Software Engineer - ML, you will develop and manage relevance models to enhance user experience on Eventbrite. Collaborating with various teams, you will tackle machine learning, search ranking, and recommendations to ensure the right content is presented to users.

The Practice Manager for Data Science, AI, and ML will lead a team of experts to deliver professional services, ensuring successful customer engagements. Responsibilities include acting as a technical liaison, guiding teams through projects, educating clients on data science solutions, and supporting cloud migrations. The role requires building strong customer relationships and delivering training to ensure client and team knowledge.

The Technical Product Manager will collaborate with data science and machine learning engineers to develop models optimizing ad performance. Responsibilities include integrating ad infrastructure, communicating with stakeholders, monitoring KPIs, and leveraging insights for product decisions.

The AI/ML Engineer will develop Generative and Traditional AI platform capabilities on enterprise and cloud platforms. Responsibilities include delivering AI models to infrastructure, optimizing scoring pipelines, automating model deployment, collaborating with teams for end-to-end model delivery, and providing guidance on software engineering principles. Additional support for production issues is expected.

As a Staff Data Scientist at Coinbase, you will build advanced models, provide technical mentorship, and develop novel experimentation techniques to drive business value. Your role will involve creating sequential features based on user behavior and quantifying the impact of negative experiences on the platform.

The AI/ML Data Analyst will develop mathematical models and algorithms for the AI/ML initiative, analyze data models, review algorithms for performance, and troubleshoot field issues. They will also serve as a subject matter expert on AI tools and techniques, ensuring all business activities align with company policies.

The Machine Learning Engineer is responsible for developing, implementing, and productizing machine learning models for business solutions. Key tasks include model deployment, data preparation, collaboration with product teams, optimization, monitoring, and staying current with AI/ML trends.

As a Senior Technical Program Manager at Coinbase, you will lead efforts in customer self-service and automation by identifying opportunities for enhancement, developing long-term strategies, and collaborating with cross-functional teams. You'll focus on improving customer workflows and implementing scalable automation solutions.

The Senior Principal AI/ML Engineer will lead the development of machine learning and generative AI solutions, collaborate with cross-functional teams, mentor engineers, and guide technical direction. Responsibilities include designing scalable applications and contributing to advanced analytics platforms, ensuring successful delivery of data-driven decisions.

The Principal Engineer for the ML Training Platform will lead a team to enhance the ML training and evaluation process. Responsibilities include designing and maintaining scalable ML data processing solutions in AWS using Kubernetes, optimizing model performance with GPUs, and collaborating with various teams to ensure the effective execution of technical initiatives.

As a Software Engineer focused on ML at Tavus, you will develop new features using computer vision and NLP models, take ownership of ML Ops tasks, and design experiments to enhance AI models while improving existing technical frameworks.

The Senior Data Scientist will lead machine learning and AI projects, designing and deploying NLP models, conducting advanced data analysis, collaborating with teams, and communicating insights to stakeholders while staying updated with the latest technological advancements.