Top Machine Learning Jobs in Dayton, OH

As a Staff Product Designer at Jerry, you'll lead design efforts for key products, modernize car care features, and collaborate with cross-functional teams to create exceptional user experiences across mobile and web platforms.

The Senior Scientist in Clinical Analytics will implement data analytics strategies, deliver insights through advanced analytics, and collaborate with stakeholders to drive business efficiencies and decisions.

Lead the development of AI-driven security workflows, integrate machine learning models, establish data pipelines, and mentor engineers.

The AI Architect will lead the design and development of AI-powered products, aligning technical architecture with business needs and driving product strategy.

Manage dealership accounts, build relationships, communicate client needs, analyze CRM data for improvements, and collaborate with product teams for enhancements.

The role involves driving data governance strategy and practices across the Bank, collaborating with cross-functional teams, leading data quality initiatives, and mentoring analysts while ensuring compliance with data governance standards and improving data quality.

As a Senior Machine Learning Engineer, you will design, build, and deploy large-scale ML systems to enhance Dropbox's AI features, collaborating with teams and mentoring peers.

The Data Analyst will prepare and analyze data for predictive modeling, support multiple projects, and collaborate with various teams to enhance data processes and insights.

Manage a portfolio of Chief Data Officers, delivering insights and guidance in Data & Analytics, while collaborating with internal teams for client success.

Lead data-driven decisions in weather and climate analytics by developing machine learning models, managing projects, and mentoring team members.

This role involves managing system enhancements, supporting project implementation, reengineering processes, and improving efficiency through automation and technology.

The Infrastructure Architect will design scalable and secure infrastructure solutions for digital initiatives such as cloud adoption and machine learning while collaborating with teams to meet business and regulatory goals.

The role involves producing insights for AI product management, advising clients on AI strategy, and developing business approaches for AI technologies. The analyst will work closely with executives and product managers, driving AI investments and guiding product lifecycle management.

As a Lead AI Engineer, design and implement AI and machine learning models and pipelines to enhance healthcare outcomes and efficiency.

Lead machine learning initiatives to enhance underwriting model accuracy. Design and implement advanced training strategies and optimize workflows. Mentor engineers and influence modeling strategy.

Lead a team to develop Dropbox's AI product, Dash. Focus on driving product revenue, operational agility, and mentoring team members. Utilize ML techniques and data-driven insights for decision making.

The Software Engineer III will focus on leveraging Generative AI for patient solutions, enhancing voice AI agents, and managing technical projects while mentoring peers.

The AI Executive Partner provides strategic advisory support to C-Suite members, leveraging AI to drive organizational outcomes and build relationships while managing member engagements.

The Senior Director of Global Quality Solutions drives efficiency in quality processes through automation, leading digital transformation initiatives, managing projects, and fostering innovation in document management.

The Curriculum and Content Strategy Lead develops AI and data-focused educational content, oversees curriculum strategy, and collaborates with stakeholders to enhance learning outcomes and drive product development.

As a Senior to Principal Machine Learning Engineer, you'll lead the architecture and development of the Agentic AI platform, focusing on LLMs. Responsibilities include enhancing LLM performance, designing evaluation methodologies, and establishing safety protocols for LLM use.

Lead a team of engineers to design, develop, and enhance the data ingestion platform, focusing on real-time data processing and system reliability.

The Workday HCM Architect leads the development of HR solutions utilizing Workday AI, Talent Management tools, and enterprise software implementation in collaboration with business and IT partners.

The Technical Project Manager will coordinate technical projects related to deep learning frameworks, managing timelines and risks while ensuring client satisfaction. Responsibilities include leading project meetings, collaborating with various stakeholders, and maintaining project quality standards.

Join Clarity AI's Talent Community by submitting an open application for various roles in product, technology, finance, marketing, or operations to drive positive impact.