Top AI & Machine Learning Jobs

As a Senior AI Engineer, you'll design and build AI systems for vulnerability research, developing pipelines for automation and system architecture.

The AI Engineer designs and implements AI-assisted metadata harvesting workflows, ensuring quality and governance in documentation processes while mentoring junior members.

As a Senior Consultant, you'll maximize clients' data value through analytics, lead teams, and consult on data strategy and architecture.

As an AI / ML Engineer, design, build, and deploy ML models and data pipelines for federal clients, ensuring compliance with security requirements. Collaborate with teams, translate data problems into AI solutions, and document processes and outcomes.

The role focuses on scaling impactful deployments across healthcare, education, and culture, driving successful partnerships and programs while collaborating across teams to ensure real-world outcomes.

The Staff Applied Research Scientist leads applied ML projects focused on spatial intelligence from construction data. Responsibilities include designing scalable ML systems, mentoring engineers, and ensuring system reliability.

As the Technology Director for Special Situations, you will lead technology strategy, manage AI integration, and ensure tech delivery meets investment needs, collaborating closely with business units.

The Data Scientist will develop advanced geospatial models for logistics, improving delivery through data insights, and collaborate with teams on operational strategies.

Architect and implement MLOps strategies, design ML pipelines, mentor teams, and ensure compliance on Google Cloud, focusing on AI/ML best practices.

The AI Architect will design and implement chatbot solutions using AI technologies, collaborating with teams, ensuring compliance, and providing technical leadership.

The Staff Software Engineer will develop Cloudera's AI and machine learning platform, focusing on building scalable AI applications and collaborating with cross-functional teams.

Lead AI projects and develop machine learning models to enhance health initiatives at HPB, collaborating with cross-functional teams.

The role involves designing and developing AI-enhanced instructional materials, supporting the integration of Agentic AI solutions, and collaborating with academic staff to improve teaching methodologies.

The AI Engineer will develop, implement, and manage AI/ML applications, models, and infrastructure while ensuring integration with enterprise systems and compliance with ethical guidelines.