Top AI & Machine Learning Jobs

Develops, deploys, monitors, and supports production machine learning and AI applications. Responsibilities include building Python services, APIs, data and feature pipelines, MLOps workflows, generative AI and agent-based solutions, and integrations with enterprise systems. The role applies software engineering, cloud, security, governance, observability, and responsible AI practices while collaborating with data science, engineering, architecture, security, DevOps, and business teams. This is an onsite position in Des Moines.

Design and build enterprise LLM-serving infrastructure on Kubernetes, including GPU scheduling, deployment, scaling, model lifecycle management, Helm-based packaging, offline installations, platform integrations, and production observability. Develop across a multi-service Go codebase, contribute design documentation and reviews, and help establish engineering direction for a remote-first team.

Supports Dunmore’s AI and data initiatives through data modeling, integration, quality improvement, machine-learning experimentation, product and BOM classification, and agentic workflow analysis. The intern prepares data, develops features, tests and validates models, documents research and results, maps business processes, and evaluates AI workflows with appropriate safeguards. The role involves collaboration with technical and cross-functional teams and communication of findings to technical and non-technical stakeholders in a manufacturing environment.

Lead the architecture, development, optimization, and operation of production LLM and AI automation systems. Design capabilities including agents, retrieval, code generation, tool use, model routing, evaluation, and observability. Drive platform modernization, scalability, reliability, architecture, and code quality while mentoring engineers and influencing technical practices across teams. Build prototypes, establish engineering standards, conduct reviews, and communicate complex technical concepts through documentation and cross-functional collaboration.

Develop and support AI/ML applications and infrastructure for a federal healthcare agency. Build CI pipelines, automate deployment and infrastructure processes, manage cloud and server environments, troubleshoot applications and networks, monitor performance, and implement security and data protection. Collaborate with architects, developers, DBAs, stakeholders, and Agile teams while conducting code reviews, documenting solutions, mentoring colleagues, and supporting AI/ML prototyping, evaluation, integration, and production deployment.

Customer-facing Cloud Solution Architect specializing in generative AI and Microsoft 365 Copilot. Advise, design, deploy, and govern AI-powered workplace and agentic solutions; lead adoption, change management, identity/security/compliance controls, and analytics-driven usage measurement. Coordinate partners and delivery teams, engage executives, and manage adoption/consumption milestones while capturing feedback to improve products and delivery.

Analyze business problems using SQL, Python or R, and statistical methods to identify trends, test hypotheses, and develop insights or recommendations. Visualize findings in Tableau and collaborate with data engineers to present results to stakeholders. The role requires clear communication, flexibility, and the ability to explain analytical approaches and adapt deliverables to business needs.

Own the equipment AI roadmap for a semiconductor fab and deploy AI/ML, advanced analytics, sensor, vision, controls, automation, and AMR solutions. Integrate equipment, MES, facilities, and manufacturing data into reusable datasets, digital twins, and data lakes. Develop maintenance knowledge assistants, predictive and diagnostic tools, and production dashboards. Lead projects from proof of concept through sustained deployment, coordinate with IT, engineering, vendors, and technicians, and mentor teams on data and AI practices.

Early-employee, open-call role for candidates passionate about accelerating UAV swarm and spatial AI capabilities for national security. Help shape company direction, propose a role, and describe relevant past projects. Requires optimistic, tenacious, self-determined, and highly motivated individuals. Must meet ITAR eligibility (US Citizen, Green Card holder, or asylee/refugee).

Design, build, and operate large-scale AI/HPC infrastructure spanning job scheduling (Beaker), runtimes, networking, and storage. Drive automation, performance optimization, root-cause analysis for distributed GPU workloads, mentor engineers, and collaborate with researchers to prioritize and deliver scalable orchestration and cluster health tooling.