Top Machine Learning Jobs in Dayton, OH

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

The Account Executive will drive sales, manage client relations, and generate revenue in the North American market for mobile app growth.

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.

The role involves transforming ideas into AI prototypes, collaborating with teams, and managing the entire development process from concept to delivery.

The Staff Data Scientist will enhance engagement strategies using machine learning, lead cross-functional projects, mentor junior scientists, and collaborate on product insights.

The role involves building ML systems, improving models across product surfaces, and leveraging data for personalization and user engagement.

The Product Manager will lead a pod to enhance primary care workflows using Counterpart Assistant, focusing on metrics, user experience, and product strategy to improve patient outcomes.

Manage and expand sales territory for AI-powered healthcare software, driving revenue growth and building strong relationships with hospital executives and decision-makers.

The Data Scientist L6 leads the technical strategy for Netflix's Games Portfolio Team, focusing on forecasting, metrics ecosystems, audience insights, and model development while mentoring team members and ensuring production-grade data products.

As a Senior Solutions Consultant, you will support sales by understanding client needs, providing product demonstrations, and managing proposals while fostering collaboration between teams.

Lead the definition and delivery of AI-driven features and solutions. Translate complex needs into clear requirements, prioritize use cases, and coordinate cross-functional teams to deliver effectively.

Lead the development and growth of line of credit products, establish roadmaps, ensure cross-functional collaboration, and promote a culture of continuous improvement.

Lead data acquisition and management strategies for AI models, analyze data systems, oversee partnerships, and guide a team in optimized data usage.

Lead and manage a team to produce ML-based features for creative tools, leverage machine learning systems, and foster team growth.

The Director of Business Development, Data Solutions is responsible for scaling business, managing key accounts, and building strategic partnerships, focusing on data services and analytics solutions.

Responsible for designing and scaling systems for go-to-market operations, implementing low-code workflows and AI-driven processes, and ensuring efficient cross-functional collaboration.

As a Research Scientist, work on connecting theoretical models with experiments in condensed matter theory, collaborating with scientists and engineers.

Join Invoca's Talent Community to stay updated on job openings and to explore exciting career opportunities across various departments.

The Technical Program Manager will support Distributed Energy Resource (DER) partners in integrating with EnergyHub, managing launches, tracking project progress, and ensuring post-launch support, all while optimizing processes for scalability.

The Senior Data Scientist will lead marketing efficiency efforts using data science techniques, enhance internal tools for experimentation, and collaborate with product and engineering teams.

The Pre-Sales Solutions Engineer will act as a technical advisor, helping customers understand AI solutions for insurance workflows, support sales processes, and ensure customer satisfaction with product demos and integrations.

Interns will prototype rapidly, iterate, and contribute to open-source projects at the intersection of AI and cryptography.

The Engagement Principal is responsible for the deployment of Aera solutions, managing client relationships, project delivery, and contributing to sales cycles, ensuring successful implementation and value delivery.

This role involves training AI models in Energy and Power by providing feedback on outputs, problem-solving, and identifying biases in the AI's knowledge base.

As an AI Tutor, you will teach, evaluate, and red-team AI models in data science principles, focusing on statistical modeling, machine learning, and data ethics.