Top Machine Learning Jobs in Cleveland, OH

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.

The Senior Product Manager will lead Provider Experience, simplifying workflows and enhancing clinician support through effective system management and cross-functional collaboration.

Lead data product and platform strategy translating business needs into scalable data capabilities. Own roadmap prioritization, stakeholder alignment, and enablement of Customer 360, experimentation, personalization, and ML-driven initiatives. Manage senior managers and a ~30-person India-based engineering, data science, and analytics organization, developing leaders and ensuring delivery excellence and platform reliability.

Lead research on large language models to address healthcare challenges, collaborating with teams to enhance model performance and ensure real-world applicability.

The role involves building computer vision models, researching deep learning methods, handling large datasets, and implementing MLOps best practices.

Build and optimize machine learning models for 3D dental applications, research state-of-the-art methods, and implement MLOps best practices.

The Manager of Decision Science will lead analytics efforts to enhance digital marketing, focusing on SEO and content metrics, utilizing statistical models and tools to drive business growth.

The AI Risk Advisor guides AI initiatives in compliance with governance standards, evaluates vendor proposals, and establishes best practices, focusing on Generative AI.

The role involves designing, optimizing, and deploying machine learning models for edge environments, focusing on computer vision. The engineer will collaborate with teams to integrate models and improve inference efficiency while mentoring peers and upholding company values.

Participate in a 14-month paid apprenticeship while completing a part-time Data Science bootcamp. Contribute to software projects, write and test code, collaborate in sprint workflows, perform debugging and QA, receive mentorship, and build production-ready portfolio work.

Design, implement, and optimize scaled lifecycle campaigns across email and in-product channels to drive activation, revenue, retention, and cross-sell. Use marketing automation, behavioral data, and ML techniques to personalize experiences, analyze performance, and collaborate across growth, product, sales, and data teams.

Lead Lantern's AI product vision and roadmap; prototype and validate AI/ML solutions; convert prototypes into scalable products; drive cross-functional adoption, governance, safety, and measurable outcomes across clinical and operational domains.

The role involves producing research, leading AI transformation in procurement, engaging clients with actionable insights, and mentoring a team of analysts.

The Senior Machine Learning Engineer will develop, deploy, and optimize machine learning applications, collaborating with cross-functional teams to enhance AI services.

As a Conversational AI Engineer, you will design and deploy intelligent chat agents, integrate systems, evaluate AI tools, and ensure system performance to enhance customer service.

Lead the design, development, and deployment of machine learning models, collaborating with teams and mentoring engineers. Focus on scalable ML workflows.

Lead AI Factory program as Scrum Master and Product Owner: run Agile ceremonies, optimize MLOps/model pipelines, manage backlog, align stakeholders, remove risks, and measure business value of AI solutions.

Design and implement credit strategies using data, machine learning, A/B testing and advanced analytics to optimize underwriting, pricing, and credit line decisions. Lead end-to-end analytics for credit card products, monitor portfolio performance, conduct root-cause analysis, partner cross-functionally, and communicate findings to stakeholders.

The Associate Director leads the Global Records and Information Management team, optimizing governance practices, managing projects, and developing relationships across various stakeholders, while ensuring regulatory compliance and strategic implementation.

Lead enterprise-wide data and AI governance by creating and enforcing policies, controls, and frameworks for responsible data use, AI model oversight, risk mitigation, regulatory compliance, and stakeholder engagement across the organization.

The role includes developing B2B marketing strategies, collaborating with sales, creating targeted materials, and conducting market research to support growth.

Lead the strategy and execution of AI-powered neuro solutions at Viz.ai, collaborating cross-functionally and driving commercialization efforts.

Lead a small engineering team in developing and deploying core product functionality, ensuring high quality and security standards. Collaborate with cross-functional partners while managing and scaling the team effectively.

Lead the transformation of shared developer data into valuable solutions for game developers, enhancing user engagement and monetization.

The Principal Partner Marketing Manager will lead strategic co-marketing initiatives, develop joint marketing plans, execute integrated campaigns, enable field teams, and collaborate cross-functionally to drive awareness, demand, and revenue growth through partnership with Microsoft.