Top AI & Machine Learning Jobs

The Deployment Strategist will lead client engagements for AI healthcare solutions, focusing on onboarding, integration, and collaboration with sales and engineering.

The Data Annotation Specialist will annotate and validate data for autonomous driving systems, ensuring high-quality data for training models.

The Sr. Applied AI Engineer will design, build, and deploy production-grade ML and LLM systems. Responsibilities include collaborating with various teams, developing evaluation infrastructure, maintaining versioned LLM workflows, and ensuring data governance.

The Vertical AI Lead will own the P&L of agent deployments, build AI agents, develop customer relationships, and originate GTM strategies, while collaborating across teams for product success.

Lead data science and AI execution across the Workplace Solutions business, focusing on analytics, machine learning, and partnerships to drive business growth and enhance user experience.

The AI Summer Intern at InVita will assist in AI tools prototyping and development in healthcare tech, collaborating on data pipelines and user experiences.

The Senior Business Intelligence Specialist will lead AI initiatives to enhance the revenue cycle by improving efficiency, guiding organizations in AI tool selection, and overseeing program delivery while ensuring communication between stakeholders and technical teams.

The AI Engineer will develop and maintain the Context Hub CLI, enhance AI documentation retrieval, and collaborate with the team to build key features for a growing AI community of developers.

As a founding Machine Learning Engineer, you will improve core models, optimize LLM inference, develop data pipelines, and ship features directly to users.

The AI Strategist will lead enterprise customers in SEO and AI search strategies, driving measurable outcomes and collaborating closely with product and R&D teams to create impactful narratives.