Top AI & Machine Learning Jobs

Lead advanced GEOINT exploitation across EO, IR, SAR, multispectral, and specialized sensor collections. Develop machine learning, statistical, and data-fusion models for detection, classification, change analysis, and intelligence workflows. Conduct image science and sensor performance analyses, integrate AI capabilities, establish analytic standards, mentor technical staff, and deliver mission-critical products and briefings to government and intelligence customers.

Design, train, deploy, monitor, and optimize speech and NLP models for a voice-agent platform. Build MLOps pipelines, APIs, and inference services while developing Android and iOS applications that integrate AI, voice, real-time communication, and backend services. Create frontend prototypes and dashboards, conduct model experiments, evaluate vendors, optimize performance, document systems, and maintain engineering quality across collaborative teams.

Leads AI performance and quality operations across frontline voice and chat agents. Builds AI-powered interaction monitoring, evaluation, coaching, visualization, and feedback systems that improve member experience and team performance. Partners with frontline leaders to drive adoption, scale successful frameworks, and oversee operators and agent builders. Requires strong data fluency, systems thinking, communication, people leadership, and hands-on familiarity with modern AI tools.

Leads Aptive’s AI strategy and roadmap while personally delivering production machine-learning systems for forecasting, route optimization, retention, pricing, lead qualification, and customer and technician support. Builds and manages the ML and data science team, partners with data engineering on infrastructure, establishes model deployment and monitoring practices, and oversees responsible AI governance. The role requires measurable business impact, executive-to-engineering communication, and hands-on model and pipeline review.

Build and orchestrate AI automation workflows using n8n, LLMs, agentic frameworks, and MLflow. Develop intelligent agents, chatbots, semantic search systems, and AI dashboards using Python, Streamlit, OpenWebUI, vector databases, OpenAI, and Anthropic technologies. Integrate AI into business processes and data platforms while parsing documents and maintaining compliance, security, and ethical standards.

Leads AI and machine learning strategy, projects, and teams across the full model lifecycle. Responsibilities include developing and deploying models, establishing governance and MLOps standards, evaluating emerging technologies, managing AI risks, mentoring technical staff, partnering with stakeholders, and reporting business impact and delivery progress to senior leadership.

Owns enterprise AI architecture, standards, platforms, and governance for healthcare-grade LLM, RAG, and machine learning solutions. Defines Azure-based reference architectures, security and privacy controls, Responsible AI practices, MLOps standards, cost governance, and evaluation frameworks. Leads architecture reviews, partners with security, data, platform, and product teams, mentors engineering teams, and creates reusable AI accelerators. The role requires extensive software architecture experience, deep Azure and AI/ML expertise, and healthcare compliance knowledge.

Design, build, deploy, and optimize production AI systems, including LLM integrations, RAG pipelines, embeddings, vector search, predictive models, and inference systems. Collaborate with product and engineering teams to translate business needs into scalable solutions for recommendations, risk scoring, forecasting, and workflow automation. Own data pipelines, monitoring, evaluation, security, privacy, documentation, and continuous model improvement across cloud environments.

Lead Unity’s organization-wide AI enablement strategy, training, adoption, automation, workflow redesign, and practical governance. Build prototypes and smaller AI tools, manage vendors and tooling, measure adoption and ROI, and partner with Product, Engineering, and IT on scalable solutions. The role also designs evolving responsibilities, team structures, and ways of working as AI becomes embedded across the business.

Own strategic customer relationships and lead deployment of AI workflows into supplier operations. Map customer SOPs and data sources, identify high-ROI AI opportunities, translate needs into product and implementation requirements, drive adoption, partner with product/engineering, build playbooks, track value, and surface expansion opportunities across global teams.