Top Machine Learning Jobs in Atlanta, GA

The Staff Backend Product Software Engineer will lead a team in delivering technical solutions, collaborating on product management, and mentor engineers while maintaining high standards in a reliable, scalable environment.

The Associate Product Counsel will advise on privacy and data protection issues, support incident responses, collaborate on AI projects, and ensure legal compliance for product launches.

The role involves leading AI strategy and implementation, overseeing teams, managing client accounts, and delivering strategic business solutions to enhance client value.

Design and develop technical solutions to improve workflow efficiencies. Collaborate with business stakeholders to translate needs into technical requirements and deliver effective solutions.

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

Provide technical pre-sales support for SailPoint, managing proof-of-concept processes, architecting solutions, and developing custom code for identity management.

As Principal Product Manager for the Agentic Platform, you will set the vision and strategy for AI infrastructure, drive product development, and facilitate adoption across teams.

Manage a team of ML engineers to build and optimize Affirm's economic decisioning engine using advanced ML techniques. Collaborate across teams, provide technical leadership, and mentor engineers while driving a cohesive long-term ML strategy.

The Machine Learning Engineer will design, build, and maintain production machine learning systems, focusing on scalability, reliability, and integration with existing products. Responsibilities include developing ML pipelines, establishing ML Ops best practices, and collaborating on product capabilities.

Lead development of a greenfield data product by partnering with customers and product teams to build analytics and models (simulation, Bayesian networks, optimization, ML). Maintain existing analytics, improve predictive churn models, and translate customer needs into production-grade SQL/dbt pipelines, dashboards, and data-driven product features.

As a Customer Service Representative, you'll manage inbound customer calls, provide exceptional service, handle payment processing, and maintain customer accounts post-training.

The Strategic MSP/MSSP Account Executive will identify and develop partnerships, create strategic plans, and drive revenue growth by engaging with prospective MSP/MSSP partners while collaborating internally to optimize sales strategies and maintain relationships.

As a Senior Data Scientist, you will lead high-complexity projects, develop ML and NLP solutions, and collaborate across teams to drive business impact through statistical modeling and data analysis.

Lead the development of machine learning systems for Cedar Pay's Personalization Engine, manage ML engineers, and ensure ML model effectiveness.

Develop and optimize ML pipelines and Language Models, implement agentic AI systems, deploy ML components on GCP, and improve models based on feedback.

The position involves building AI systems using language models, managing ML pipelines, and requiring expertise in MLOps and cloud services.

The Enterprise Account Executive will manage the complete sales cycle, build relationships with senior leaders, and drive platform adoption within data-intensive organizations.

As a Technical Content Writer, you will create and manage technical documentation for Runpod's GPU cloud platform, collaborating with various teams to ensure clarity and engagement while staying updated on AI trends.

The Principal Data Scientist leads AI/ML strategy, ensuring high standards in modeling and experimentation, and fosters cross-functional collaboration for enterprise decision-making.

The AI Observability Engineer monitors AI model performance, manages data quality, ensures compliance with Responsible AI principles, and collaborates on AI governance initiatives.

This role involves designing and implementing control solutions in power plants, managing projects, conducting efficiency assessments, and utilizing advanced analytics, while ensuring adherence to safety protocols and effective communication with teams.

Design, develop, and deliver machine learning models for clinical data. Collaborate with stakeholders and optimize production ML systems.

The Senior Machine Learning Engineer will design, implement, and optimize machine learning models, drive AI initiatives, and collaborate cross-functionally to enhance SailPoint's AI capabilities.

The Engineering Manager will lead a team of Data Scientists and ML Engineers to build a Dispatch Optimization platform, focusing on model deployment and operational excellence.

The Principal ML Engineer at Agero will develop and productionize a Dispatch System using ML models, optimize decision-making processes, and lead a team to improve operational performance.