Top Senior Machine Learning Jobs in Cincinnati, OH

Seeking a Senior Full Stack .NET Developer to work on a social good project, with strong skills in C#, AngularJS, design, and UX. Requires 5+ years of experience.

This role involves managing strategic partnerships to drive growth, collaborating across teams, and developing new initiatives for business impact.

Lead AI engineering initiatives to develop and implement innovative AI/ML solutions while enhancing software development processes across Owlet's products.

As a Principal Product Designer & Product Manager, you will drive product creation, merging strategy and design while integrating AI tools to enhance workflows. You will lead user research, design processes, and cross-functional collaborations to meet business goals and improve user experiences.

Lead TELUS Digital's Google CES initiatives, managing team performance, delivering AI-powered customer engagement solutions, and ensuring client satisfaction while driving innovation.

Develop and maintain cutting-edge LLM projects, lead NLP models, own ML systems, and enhance user experiences on Poe platform.

Lead machine learning projects from conception to production, enhance ranking systems, mentor team members, and implement high-performance distributed systems.

The Senior Staff Machine Learning Engineer will lead system development for personalization and ranking, mentor engineers, and influence technical direction within large-scale systems.

As Director of OEM Integrations, you will lead integration strategies, manage teams, enhance processes, and ensure alignment with business goals.

Drive solution discovery and design of AI solutions, support sales proposals, deliver demonstrations, and enhance customer relationships at Five9.

Lead training, evaluation, and deployment of ML models for scene understanding and behavior prediction in autonomous vehicles.

You will train, evaluate, and deploy ML models for scene understanding and behavior prediction in autonomous vehicles, while collaborating with engineers.

The role involves managing a team of Solutions Architects, driving customer success in Data + AI, and coordinating with the sales team to increase revenue.

The Product Tax Lead will manage tax requirements in product lifecycles, ensuring compliance and collaboration between Tax, Product, and Engineering teams.

The Principal Architect will lead the architectural direction of the AI-powered security platform, ensuring scalability and integration of advanced technologies, while mentoring engineering teams and enhancing technical standards.

Design and build a machine learning platform, deploy ML models, collaborate across teams, and establish monitoring standards for AI solutions.

As a Staff Machine Learning Engineer, you will lead the design, implementation, and optimization of machine learning models, collaborate cross-functionally, and drive AI strategy to enhance SailPoint's identity security solutions.

As a Senior Software Engineer, you'll lead software development, solve complex problems, and collaborate closely with clients to deliver business value using modern technologies.

The Senior Voice Engineer is responsible for configuring and optimizing NICE CXone solutions, conducting migration from Cisco, integrating systems, and improving call flow efficiency while providing technical support and collaboration with stakeholders.

Design and implement machine learning pipelines for fraud and payment systems, collaborating with data scientists and engineers to enhance reliability and decision-making.

Develop and productionize a next-gen Dispatch System, build ML models, automate processes, and collaborate with various teams while mentoring other engineers.

The Senior Applied Scientist II is responsible for designing and implementing ML models to optimize the supply chain, collaborating across teams, and driving data-driven decision-making.

As a Senior Machine Learning Engineer, you will develop scalable ML solutions, collaborate with teams, optimize models, and implement best practices for deployments and infrastructures.

The Senior Machine Learning Engineer will develop ML APIs, build data pipelines, and collaborate across teams to enhance ML models and applications.

As a Senior Machine Learning Engineer, you will design ML infrastructure, lead zero-to-one initiatives, collaborate on projects, and enhance scalability in the development of ML applications.