Top Machine Learning Jobs in Atlanta, GA

The Principal TI Data Product Manager leads AI-driven product innovations, collaborating with teams to develop scalable solutions that integrate AI and machine learning. This role involves designing data strategies, experimenting with AI, and optimizing business workflows to enhance decision-making and operational efficiency.

As a Junior Associate in Legal Knowledge Engineering, you will experiment with AI and machine learning technologies to enhance legal software products. Your responsibilities include creating prompts for accurate information extraction, developing smart fields for document analysis, and staying updated on legal domain developments.

The Senior Product Manager at Litera oversees the lifecycle of legal technology products, engaging with customers to identify needs, working with cross-functional teams for feature development, and managing the product roadmap. This role requires a blend of technical understanding, customer advocacy, and storytelling to align stakeholders on product vision and strategic direction.

The Senior AI/ML Scientist will develop and deploy AI solutions for M&A workflows, optimizing document processes and enhancing product features. Responsibilities include creating new AI models, collaborating with cross-functional teams, and ensuring solution accuracy and reliability.

As the Head of Risk Engineering at Mercury, you will lead and scale risk systems that ensure fraud detection and compliance. Your responsibilities include developing risk strategies, leading engineering teams, building risk infrastructure, and supporting regulatory standards through collaboration with legal and compliance experts.

The Principal Data Scientist at Harvard Business Publishing will lead strategic data science initiatives, develop ML models, and enhance edtech products. Responsibilities include data research roadmap development, prototyping, monitoring data products, collaborating with teams, performing data analyses, and mentoring staff.

As an Intern II in Data Science at Dexcom, you will develop and optimize machine learning models, analyze large datasets, and assist in building data pipelines on AWS. The role involves collaboration with data engineers and data scientists to extract actionable insights and contribute fresh ideas to advance analytics projects.

As an intern at Dexcom, you'll design, develop, and test backend components for Generative AI solutions using Python APIs. Collaborate with the team on integrating these components with front-end interfaces, conduct research on prompt engineering to enhance LLM performance, and contribute to the AI platform's development and maintenance.

As a Data Science Intern at Dexcom, you'll develop data ingestion pipelines, perform ad hoc analytics, and operationalize model pipelines. Collaborating with various teams, you'll conduct quality research on diabetes-related data and analyze existing products, documenting code and results throughout the program.

Interns will develop algorithms for continuous glucose monitoring applications, create tools for assessing CGM performance, and analyze various physiological data streams. They will work collaboratively with a team focused on innovative healthcare solutions.

The intern will work within the Data Products & AI department to design, develop, and deploy AI/ML models and applications using cloud computing and generative AI technologies. Responsibilities include collaboration with data scientists and engineers, and communicating results effectively.

The Senior Appian Consultant will provide integrated architecture support, mentor delivery teams, guide clients on technical solutions, and ensure scalable configurations using Appian. Responsibilities include leading implementation teams, supporting design and testing activities, documenting best practices, and providing thought leadership on process improvement.

As an Appian Solutions Consultant at Groundswell, you will create high-quality demos, lead client discovery sessions, guide on architecture and configuration, write technical proposals, and mentor resources. You will serve as a trusted advisor, helping integrate Appian solutions into client architectures.

As a Lead Data Scientist at Arity, you will lead the development of machine learning algorithms for advertising data, making key technical decisions, optimizing marketing platforms, and collaborating with teams to influence business outcomes. Responsibilities include analyzing large datasets, building advanced algorithms, and communicating results to stakeholders.

The Principal Appian Consultant will lead implementation teams in delivering complex solutions using Appian, guiding clients on Agile processes and technical implementation. Responsibilities include mentoring team members, supporting large-scale projects, ensuring performance and scalability, creating best practices, and serving as a trusted advisor to clients.

As an Appian Architect, you'll guide clients on architecture design and integration of Appian solutions, mentor teams on best practices, evaluate emerging technologies, and ensure scalable, performance-driven implementations. You'll also document best practices and support internal tools. This role requires strong experience with Appian solutions and a focus on delivering robust, client-centered technology solutions.

As a Staff Product Manager at Ancestry, you will lead the personalization strategy and execution for the Family History product line. You'll collaborate with designers, engineers, and data scientists to create user-centric experiences, analyze data-driven insights, and optimize the user journey to enhance engagement and retention.