Top Machine Learning Jobs in Atlanta, GA

The Senior Associate in Business Operations will drive data-driven strategies, lead A/B testing initiatives, and enhance operational efficiency while collaborating with various teams.

As a Senior Data Scientist at AIG, you will develop AI solutions, lead generative AI projects, collaborate across teams, and drive innovation in data science.

Lead and manage software engineering teams, overseeing the development of microservices-based applications, ensuring project success, mentoring engineers, and driving technological innovation.

The Sr. Product Designer will create user-centered mobile experiences for AI-supported mental health therapy. Responsibilities include designing workflows, collaborating with teams, and utilizing strong design skills in mobile applications.

The AI Engagement Manager will foster relationships with top partners, facilitate adoption of AI solutions, and analyze performance using BI tools.

As a Machine Learning Engineer, you'll enhance ML productivity, improve model deployment, and implement algorithms for credit decisioning systems.

Lead the global finance process ownership function, managing end-to-end finance processes, improving efficiency through automation and continuous improvement, and aligning operations with Workday technology.

The Strategy & Analytical Consultant develops business strategies using Equifax's analytics platform, collaborates with clients, and drives new sales opportunities through quantitative analyses.

As a Machine Learning Engineer, you will perform analysis on healthcare data, develop and deploy clinical machine learning models, and collaborate with various stakeholders.

The Sr. Manager of Information Risk & Controls drives the risk management evolution by leading risk identification, developing frameworks, and collaborating with teams across Invesco.

The Vice President of Sales will lead and execute sales strategies, build a high-performing team, and achieve aggressive growth targets through enterprise customer acquisition and ongoing success.

The Senior Product Manager will lead Provider Experience, simplifying workflows and enhancing clinician support through effective system management and cross-functional collaboration.

Lead and scale a high-performing sales organization focused on enterprise adoption of Adobe's Foundry AI solutions. Guide strategy, manage teams, and collaborate cross-functionally to drive customer engagement and product evolution.

Lead research on large language models to address healthcare challenges, collaborating with teams to enhance model performance and ensure real-world applicability.

Lead the architecture and management of AI/ML infrastructure using Kubernetes and Terraform, optimizing hybrid environments for performance and scalability.

The Senior Machine Learning Engineer will design and optimize ML models, manage end-to-end ML projects, and enhance SailPoint's AI capabilities while collaborating with various teams to integrate AI features into products.

As an Enterprise Account Executive at Salesforce, you will drive revenue growth by leveraging AI-driven solutions, understanding client needs, and demonstrating how Agentforce can solve business challenges while fostering client relationships.

Lead the data intelligence strategy for FCC, focusing on monetization, advanced analytics, data governance, and AI integration while managing global teams.

Dandy seeks a Machine Learning Engineer to develop 3D computer vision models using SOTA methods, collaborate with product teams, and implement MLOps pipelines.

The role involves building computer vision models, researching deep learning methods, handling large datasets, and implementing MLOps best practices.

Build and optimize machine learning models for 3D dental applications, research state-of-the-art methods, and implement MLOps best practices.

The Senior Machine Learning Engineer will develop AI workflows, collaborate with teams on models and pipelines, conduct research, mentor junior members, and innovate solutions for healthcare.

The Senior Data Scientist will solve complex engineering problems, collaborate on analytics, generate reports, and improve systems using machine learning and data analysis.

Lead the development of Generative and Agentic AI solutions within Claims and Operations, managing teams to enhance customer experiences. Collaborate with business leaders on AI strategy and promote data-driven practices.

As a PhD Systems & AI/ML Research Intern, you'll work on infrastructure problems, build prototypes, run benchmarks, and document findings.