Top Machine Learning Jobs in Atlanta, GA

The Senior AI/ML Engineer will conduct research, engage in pre-sale activities, and develop solutions using classical ML algorithms and PyTorch for various tasks such as document classification and employee matching. Responsibilities include data collection, implementing Computer Vision algorithms, and working on healthcare-related projects.

The ML Engineer for Computer Vision will work with advanced techniques in artificial intelligence and computer vision to develop algorithms that enhance Entefy’s products. Responsibilities include using machine learning tools and computer vision techniques for image processing and analysis on various confidential projects.

As a Senior AI/ML Engineer, you will design, implement, and maintain machine learning algorithms and systems, collaborate with cross-functional teams, and integrate AI models into existing applications. You will advocate for best practices within the team while working in regulated environments, and ensure smooth operations by developing RESTful APIs and CI/CD pipelines.

As a ML Solutions Engineer, you will act as a trusted advisor to customers, engaging them with product education and managing escalations while influencing product roadmaps. Your role involves gathering goals and KPIs with pre-sales engineering, demonstrating AI product value, and developing relationships with technical stakeholders.

The Sr. AI/ML Engineer at Lyra Health will build and manage the infrastructure necessary for machine learning applications, ensuring the deployment, monitoring, and optimization of ML models. Responsibilities include coding, collaborating with stakeholders, and creating data systems for model features.

The Sr. AI/ML Engineer will build backend infrastructure for generative AI products, manage applications in Kubernetes, work with databases for AI solutions, and collaborate with various stakeholders on requirements for AI/ML infrastructure.

As a Senior ML Engineer, you will lead projects concerning communication activities and machine learning for core business tasks. You will be responsible for developing ML models, collaborating with cross-functional teams, and sharing knowledge within your team. Your role involves ensuring projects progress from data to production while leveraging various ML tools and technologies.

The Machine Learning Architect will design and execute machine learning projects from proof-of-concept to deployment, architecting solutions on cloud platforms such as AWS, GCP, and Azure. The role involves collaborating with business representatives, managing all project phases, and ensuring technical excellence in machine learning delivery while staying current with advancements in the field.