Top AI & Machine Learning Jobs

Build custom reports and data products from client requirements through coding and ongoing delivery. Apply quantitative analysis, data mining, and research to generate strategic insights from raw datasets and algorithms. Partner with Engineering and Advisory Services teams to scale solutions and answer complex business questions. Independently manage projects while communicating with clients and stakeholders.

Design and build real-time, highly concurrent software and cloud-native systems for an AI-powered emergency communications platform. Integrate and deploy LLMs, optimize voice and audio-processing pipelines, and support speech recognition, synthesis, detection, and filtering. Contribute to infrastructure, observability, security, scalability, and fault tolerance. Provide technical leadership through architecture decisions, code reviews, mentoring, and engineering best practices.

Implements AI-enabled workflows across PGA Tour departments by documenting processes, translating stakeholder needs into requirements, configuring enterprise AI tools, building prototypes, integrating systems, and supporting rollout. The role evaluates platforms, integrations, and vendor solutions; troubleshoots workflows; trains users; maintains documentation; and partners with engineering, data science, cybersecurity, privacy, operations, and vendors to deliver secure, reliable, measurable improvements.

Lead client-facing AI program governance and delivery as PMO manager. Translate business objectives into AI roadmaps and OKRs, oversee AI/ML lifecycle, ensure data readiness, model validation, deployment, and responsible AI compliance. Manage PMO standards, portfolio prioritization, AI-augmented reporting, and lead executive communications while mentoring PMs, TPMs, and analysts.

Build customer-facing data products for commercial vehicle customers, including forecasting, pricing signals, recommendations, matching, ranking, enrichment, and market intelligence. Apply LLMs and machine learning to messy structured and unstructured data, while creating evaluation, monitoring, and guardrail systems. Design ingestion, transformation, feature, entity-resolution, and data-quality pipelines. Partner with product, design, customers, and commercial teams, define success metrics, ship reliable solutions, and mentor analysts and engineers.

Assistant Professor conducting research and teaching on AI, machine learning, data analytics, and their political, regulatory, ethical, and socioeconomic implications. Responsibilities include mentoring undergraduate and graduate students, engaging in interdisciplinary collaborations, pursuing external grant funding, and contributing to Ohio State’s socio-political analysis and AI initiative.

Build and orchestrate AI automation workflows using n8n, LLMs, agentic frameworks, and MLflow. Develop intelligent agents, chatbots, semantic retrieval systems, and AI dashboards with Streamlit, OpenWebUI, Pinecone, OpenAI, and Anthropic technologies. Integrate AI into business processes and data platforms, extract structured document data, and ensure compliance, security, and ethical standards. The role is primarily office-based in Charlotte, NC, with occasional travel.

Support Revenue Operations by identifying and deploying AI use cases and agents for sales, preparing governed datasets and semantic models, ensuring data quality and governance, enabling self-service AI analytics, automating RevOps processes, and partnering cross-functionally to translate business needs into scalable AI-driven solutions that improve sales efficiency and insights.

The AI Systems Engineer will build production systems for AI agents handling customer interactions, optimize omnichannel experiences, and integrate with CRM systems.

Perform data science, engineering, analytics, and statistical work for Department of War and Intelligence Community clients. Test and evaluate AI/ML models, collaborate with teams, communicate findings, and support or conduct all-source analysis. Experience with GEOINT and large language models is preferred. The role requires an active TS/SCI clearance and ability to pass a CI polygraph.