Top Machine Learning Jobs in Columbus, OH

Lead enterprise architecture for large-scale software and platforms, evaluate and integrate AI and emerging technologies, develop architecture assessment tools, drive governance, produce secure production code, and provide technical leadership across teams to ensure scalability, resiliency, security, and operational excellence.

Lead adoption of agentic AI across product teams by training, coaching, and embedding AI-enabled workflows. Identify high-value use cases, prototype and implement practices, design playbooks and learning paths, measure adoption and outcomes, and partner across product, engineering, design, data, risk, and operations to scale durable, responsible AI-driven operating models.

Design and run experiments, analyze large datasets, build production-ready data pipelines and analytical frameworks, and translate findings into actionable recommendations for marketing and product stakeholders. Communicate insights to senior leaders and use approved AI tools responsibly to accelerate analytics and automation.

Senior solutions engineer who designs, builds and supports network automation applications for deployment and administration of Dell SONiC, Cisco ACI and Arista. Develops full-stack services (Python/Java/Node/React) on Kubernetes with IaC, CI/CD and observability; enforces security and code quality, mentors teams, and drives automation and AI-assisted tooling within Agile delivery teams.

Lead cybersecurity architecture for enterprise applications and platforms: evaluate principles and controls, design cloud-native secure solutions, provide technical guidance, influence stakeholders, apply threat modeling and frameworks, and build reusable security patterns and guardrails to improve security outcomes.

Lead end-to-end delivery of AI and ML services within Managed Services. Manage project planning, budgeting, execution, and quality. Mentor and develop team members, cultivate client relationships, implement model monitoring and operationalization practices, and collaborate with architects and engineers to ensure compliant, reusable AI solutions.

Lead design-driven technical solutions that blend UX and software development. Create service flows, wireframes, prototypes, and CX strategies; guide technical teams and integrate user research, AI, and accessibility into products.

Perform end-to-end QA of finance controls for external reporting: design and execute testing, analyze results, document workpapers, identify exceptions, support risk-based planning and stakeholder walkthroughs, and drive consistency using Excel, PowerPoint, and analytics.

Lead Data Architect responsible for defining and evolving data architecture and standards across 100+ applications, driving adoption of strategic data lake platforms, designing target-state architectures and data exchange patterns, mentoring junior architects, and ensuring governance, data quality, and cloud-based database best practices.

Own end-to-end analytical lifecycle to develop and optimize business, risk, and growth strategies. Monitor portfolio and macro trends, build and interpret ML-driven models, lead cross-functional launches, mentor junior analysts, and build AI-assisted workflows to improve decisioning and measurement across products and geographies.

Lead design, build, and deploy scalable, reliable Java-based microservices in a cloud-native, event-driven AWS environment. Own backend feature design, code quality, automated testing, and FedRAMP release processes. Mentor engineers, participate in on-call/TechOps, integrate AI tools into development, and drive architecture, observability, and cross-team initiatives.

Lead applied research on agentic AI for cybersecurity: set scientific direction, run experiments on efficient post-trained models, design evaluation/verification methodologies, partner with product and security teams, and translate research into secure, production-ready agentic systems.

Lead AI strategy, partner engagements, and operational execution across CrowdStrike products. Align R&D and product delivery to company AI strategy, prioritize initiatives, set organizational goals, drive thought leadership, and create order in complex cybersecurity AI environments while delivering customer value.

Intern will own and deliver a scoped engineering project on Deepgram's voice platform (ASR/TTS/LLM/API/SDK), ship reviewed code to staging/production, use AI in development workflows, improve a component measurably, and present results with documentation.

As a Customer Success Engineer, you'll drive adoption and satisfaction for enterprise customers using Deepgram's voice AI technology, fostering strong relationships and aligning technical solutions with business objectives.

Use ML, LLMs, and GenAI to detect and prevent card fraud by analyzing large transaction datasets, building automation and reporting, developing POCs, and delivering actionable recommendations to cross-functional partners to optimize risk and customer experience.

Lead and manage the underwriting and credit risk model validation team, perform hands-on independent validations of complex ML models, assess data integrity and performance, identify and remediate model weaknesses, partner on MRM framework improvements, and coordinate with audit, compliance, and controls to meet regulatory standards.

Lead AMP's multidisciplinary engineering organization to define and execute technology vision and roadmap. Responsible for scaling teams across hardware, software, AI, and infrastructure; driving product development, quality systems, and reliable deployments; partnering with execs and cross-functional teams on budgets, prioritization, and metrics; recruiting and mentoring leaders; and balancing short-term delivery with long-term investments to create business value.

Lead long-term technical strategy and execution across multiple teams, architecting and evolving foundational frontend/backend systems and platforms at massive scale. Drive AI/ML adoption, solve ambiguous, high-impact problems, remain hands-on in critical system design and implementation, and align senior leaders on roadmaps and engineering standards.

Lead the development of machine learning systems for Cedar Pay's Personalization Engine, manage ML engineers, and ensure ML model effectiveness.

Analyze malware and customer detection reports to improve machine-learning based detections, reduce false positives, reverse engineer binaries, review product detections, and support internal teams on threat detection efficacy and remediation.

Manage customer relationships for the Falcon Intelligence Recon product: triage and escalate findings, guide customers on Recon insights, advocate feedback to engineering, and lead process improvements to increase customer satisfaction and renewals.

Lead and deliver secure, high-quality full-stack services: design, develop, test, deploy, and operate production workloads. Drive architecture decisions, reliability improvements, automation/CI-CD, and mentor engineers while partnering with product and stakeholders. Evaluate vendors/solutions and promote engineering best practices across teams.

Lead architecture design and delivery for cloud-native applications; engage stakeholders, evaluate and integrate AI-enabled capabilities, develop secure production code, drive CI/CD and resiliency, and establish AI governance and auditability across SDLC.

The Staff Machine Learning Engineer will lead ML initiatives, develop ML systems, collaborate with cross-functional teams, and mentor junior engineers to optimize healthcare intake workflows using advanced machine learning techniques.