Top Machine Learning Jobs in Atlanta, GA

Lead the development and implementation of automation techniques using AI and machine learning to improve life underwriting operations and processes.

Lead deep-dive analyses into account takeover and fraud, design and implement real-time defenses, collaborate with product/engineering/data science, run incident response, and deliver actionable insights to protect users while preserving UX and core metrics.

As a Senior Data Scientist, you will analyze data, build models, and collaborate with teams to enhance credit evaluation using machine learning.

The AVP Product Engineer - AML is responsible for the development and enhancement of AML products, collaborating with compliance and risk teams, and utilizing machine learning for detection of suspicious activities.

Lead and grow an Informatica sales organization across a region: hire and mentor Account Executives, set and execute sales strategy, drive pipeline and forecast accuracy, lead technical discovery and AI adoption motions, build executive customer relationships, and coordinate with Product, Customer Success, and Marketing to meet revenue targets.

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.

The Product Manager will drive analytics and reporting for Visa's Integrated Risk Platform, focusing on fraud detection, real-time insights, and AI integration, collaborating with cross-functional teams to deliver effective solutions.

Wolters Kluwer seeks clinicians as AI Strategists to enhance clinical AI systems, ensuring they are aligned with patient care through clinical insights, validation, and collaboration across teams.

The VP of Finance will define and execute the strategy for AI adoption in financial reporting, oversee BI platforms, and lead a high-performing team in integrating advanced analytics and automation to drive financial insights and governance.

The Senior Director, AI Strategy & Enablement drives the AI direction, aligns business technology leaders, and leads AI-driven transformation to enhance decision-making and customer experience.

Lead and shape the architecture for low-latency, high-availability platforms, providing technical leadership and influencing decision-making across multiple organizations.

The role requires deep product management expertise to influence data strategy and AI adoption, engage with executives, and shape industry narratives.

As Machine Learning Product Director, define ML strategy and manage product development for Attrition Risk Insights, enhancing customer engagement through predictive modeling.

As the Product Manager for Marketplace Growth, you'll lead integrations with insurance carriers, optimize quoting processes, and enhance customer experience by improving quote success rates through data-driven analysis and technical solutions.

The Senior Associate, Business Operations will drive data-driven decisions, oversee A/B testing, enhance operational efficiency, and collaborate with various teams to optimize user acquisition strategies.

As the Senior Product Manager, you will lead the integration of insurance carriers, optimize the quoting process, ensure data accuracy, and enhance the user experience for car insurance shoppers.

As a Business Operations Associate, you will drive data-driven decisions, support user acquisition strategies, and enhance operational efficiency through analysis and automation.

As the sole Product Manager on the Quoting team, you'll lead integrations, optimize marketplace performance, enhance quote success rates, and maintain data accuracy in the insurance app.

The role drives analytics and strategies against fraud initiatives across Synchrony's credit product suite, collaborating and communicating with senior leadership and key partners.

The Principal Product Manager will lead the Underwriting team to improve credit risk models, manage vendor relationships, and analyze portfolio performance.

The Staff Research Scientist will conduct AI research, innovate in LLM and information retrieval, and collaborate with research teams.

The Engineering Manager, Machine Learning will lead a team focusing on 3D deep learning and computer vision, manage the ML roadmap, and implement best practices for MLOps pipelines.

The Data Analyst will conduct full lifecycle analysis, develop reporting capabilities, monitor performance, and identify improvements in data quality and efficiency.

As a Research Scientist Intern, you'll work on machine learning problems, prototype features, write production code, and collaborate with mentors.

Lead Visa's North America Analytics team to develop machine learning models for fraud prevention, ensuring high-quality outputs and strong customer relationships. Manage, coach, and create processes for team effectiveness while consulting directly with customers to implement analytics and risk strategies.