Top Machine Learning Jobs in Cincinnati, OH

Leads Hightouch’s machine learning organization, including product development, technical roadmapping, recruiting, reliability, and people management. The role focuses on personalization, product recommendations, probabilistic identity resolution, LLM-powered content generation, and scalable machine learning infrastructure for model training and inference.

Develop applied AI research prototypes and systems for agentic marketing applications, focusing on generative image and video, brand asset creation, data workflows, and autonomous evaluation. The role combines probabilistic and quantitative reasoning, backend system architecture, product intuition, experimentation, and customer-focused product development. Responsibilities include building proofs of concept, improving AI-generated media realism and brand alignment, and architecting agentic systems.

Design and launch 0-to-1 AI-powered marketing tools for Hightouch’s Agents product suite. Responsibilities include rapid prototyping, customer research, synthesizing usage data and feedback, shaping product strategy, and collaborating with designers, engineers, and product managers. The role requires strong visual, UI, and interaction design skills, comfort with ambiguity, curiosity about AI, and rapid iteration in a remote-first environment.

Owns multistate U.S. property and casualty insurance product filings from drafting through approval, including AI model documentation, SERFF submissions, objection responses, and regulatory inquiries. The role supports carrier clients, monitors state requirements, develops scalable filing processes, and coordinates with data science, actuarial, product, counsel, regulators, and industry stakeholders. Requires strong technical writing, insurance regulatory expertise, independent judgment, and the ability to translate complex predictive modeling methods into regulator-acceptable documentation.

Manage complex customer issues, triage support activity, and coordinate escalations across Client Engagement, Product, Engineering, and project teams. Analyze tickets and feedback to identify trends, risks, process gaps, and product opportunities. Improve support operations through documentation, dashboards, workflows, routing logic, playbooks, and feedback loops. Serve as a customer advocate while supporting strategic initiatives and strengthening handoffs, prioritization, and operational decision-making.

Lead data engineering and machine learning initiatives by designing, architecting, developing, and supporting GCP data pipelines. Create information architecture documentation, estimate and plan technical work, collaborate with project teams and business analysts, and translate requirements into technical designs. Develop Python-based ELT pipelines, optimize BigQuery SQL, support CI/CD, and provide technical leadership to projects and teams.

Build analytical frameworks, measurement methodologies, and decision support to drive enterprise decisions across marketing, loyalty, pricing, menu, media, and operations. Mine and integrate customer, transaction, digital, and operational data; develop segmentation, predictive models, and dashboards; lead test-and-learn, incrementality, and forecasting efforts; translate analysis into clear business recommendations and scalable decisioning tools.

Leads the data science platform and machine learning strategy, building data marts, predictive models, MLOps infrastructure, and analytics capabilities. Analyzes healthcare claims, clinical, workflow, and operational data to risk-stratify patients, assess clinical program impact, support dashboards, and improve patient and provider engagement. Collaborates with clinical, operations, finance, product, executive, and technology teams while serving as a trusted analytics expert for a business workstream.

Generates and qualifies leads through outbound outreach, manages sales pipelines and CRM activity, conducts product demonstrations, guides prospects through the sales process, builds customer relationships, meets quotas, and collaborates with marketing, product, and customer success teams. The role requires inside sales experience, SaaS or technology familiarity, strong communication and negotiation skills, CRM proficiency, and up to 20% travel.

Delivers customer-facing training in AI, data, and software engineering; creates tailored courses, projects, certifications, and assessments on the DataCamp platform. Partners with Customer Success, Sales, Product, and Content teams to design blended learning paths, teach virtual and onsite sessions, tailor materials for varied audiences, and improve customer adoption, satisfaction, and measurable skills.

Design, build, and operate high-throughput, low-latency ad-serving infrastructure processing millions of requests per second. Optimize GPU-powered TensorRT inference, feature stores, model serving, benchmarking, experimentation tooling, and system reliability. Partner with machine learning engineers to productionize models and own systems through design, deployment, observability, capacity planning, incident response, and optimization.

Leads complex enterprise customer engagements as a technical authority for Databricks data and AI solutions. Drives architecture, platform adoption, consumption strategy, competitive positioning, and executive relationships. Designs large-scale data, streaming, migration, governance, and AI/ML solutions; orchestrates cross-functional teams; mentors other solutions architects; and contributes to technical thought leadership. Requires advanced coding, enterprise data architecture expertise, Databricks proficiency, strategic account leadership, and executive communication.

Leads large-scale enterprise application development, modernization, and sustainment programs. Oversees Agile teams, program governance, schedules, budgets, risks, resources, stakeholder communications, cloud modernization, DevSecOps, AI, user adoption, and cybersecurity compliance. The role coordinates technical and business stakeholders, manages Appian and Google Cloud initiatives, drives continuous improvement, and ensures delivery quality, security, performance, and alignment with government objectives.

Leads AI engineering strategy, team development, and delivery of scalable AI and machine learning solutions. Provides technical guidance on solution design, MLOps, automation, DevSecOps, testing, and operational readiness. Partners with business, data, security, architecture, and technology stakeholders to translate requirements into secure, reliable capabilities. Oversees delivery risks, dependencies, quality, governance, responsible AI practices, and continuous improvement while communicating progress and outcomes to leadership.

Lead product-focused data science and machine learning initiatives, including exploratory analysis, production model development, evaluation frameworks, generative AI, graph-based machine learning, recommendation systems, and personalization. Collaborate with engineering, product, and business teams to deliver high-impact solutions, influence strategy, and communicate insights to technical and non-technical stakeholders. The hybrid role requires four days per week in the Greater Boston area.

Staff Backend Engineer responsible for building data and machine learning systems that provide competitive travel-market intelligence. The role involves setting technical strategy, designing APIs and backend architecture, prototyping solutions, partnering with product and ML engineers, conducting design and code reviews, driving engineering best practices, and mentoring junior engineers.

Freelance writers summarize recent machine learning research papers for The Batch, an AI newsletter reaching over two million professionals and students. Writers must understand machine learning technology, explain complex research clearly in an established format, and communicate effectively in English. The role is intended for graduate students and postdocs in machine learning, with negotiable freelance compensation.

The Corporate Controller will lead accounting operations, month-end close, financial reporting, audits, tax compliance, payment reconciliations, internal controls, treasury, and exit-readiness activities. The role manages accounting systems, automation initiatives, vendor relationships, and accounting team development while partnering with FP&A, Payments, HR, and senior leadership. The position requires strong U.S. GAAP expertise, including ASC 606, audit leadership, AP operations experience, and familiarity with SaaS, payments, or FinTech environments.

Senior legal executive leading institutional bank partnerships, complex commercial and program agreements, consumer lending regulatory strategy, data protection, intellectual property, and AI underwriting compliance. The role advises executive and cross-functional teams, manages bank due diligence and risk requirements, and translates legal and regulatory considerations into scalable business strategies.

Leads the creation and global scaling of an AI Data Operations practice. Responsibilities include defining service strategy, developing AI data and evaluation solutions, originating and closing client engagements, establishing quality and governance frameworks, building strategic partnerships, providing thought leadership, and enabling scalable managed-service delivery. The role combines AI expertise, consulting, sales, solution design, commercial leadership, and global operations.

Own Avon AI’s US go-to-market motion, including enterprise prospecting, discovery, demos, pilots, negotiations, forecasting, and closing deals with regulated organizations. Build demand through outbound campaigns, events, webinars, partners, and resellers. Develop the sales process, messaging, qualification framework, and playbook while helping recruit the future US sales and marketing team. Collaborate closely with founders and product teams, translating customer and market feedback into product direction.

Develops machine learning models and production data science pipelines to improve subscription conversion, content recommendations, user understanding, workflow automation, and product decisions. Leads analytical projects and experiments, applies statistical methods to web-scale data, and collaborates with data, product, growth, and engineering teams. The role also communicates complex findings to diverse audiences and helps foster a strong data science culture.

Own and modernize Apartment List’s B2C lifecycle marketing program across email, push, and SMS. Build segmentation, personalization, partnerships, cross-sell, forecasting, experimentation, and measurement systems. Lead analytics and hands-on journey development, audience logic, troubleshooting, and SQL analysis. Manage and develop a two-person team, oversee the Iterable relationship, and partner with Engineering, Product, Analytics, Design, and senior leadership to drive renter engagement, retention, revenue, and marketplace growth.

Provides senior functional and technical leadership for NetSuite and connected financial systems. Partners with Finance, Accounting, and technology teams to design processes, configure NetSuite, manage integrations, protect close-cycle continuity, support production incidents, implement controls, coordinate releases, and deliver testing and documentation. The role also leads automation initiatives, vendor engagement, solution lifecycle delivery, and mentorship while supporting accounting, compliance, reporting, and multi-entity financial operations.

Staff Software Engineer responsible for setting technical direction, architecting scalable distributed systems, shipping high-impact features, and building AI-powered tools for a virtual healthcare platform. The role includes mentoring engineers, partnering with product and clinical leadership, translating user needs into technical solutions, and guiding frontend and backend application development in a fast-paced startup environment.