Top AI & Machine Learning Jobs

As an Artificial Intelligence Student, you will implement AI projects, develop solutions, evaluate initiatives, and support team members in AI-related tasks.

The intern will support a global AI project by designing a SharePoint workspace, configuring AI Copilots, and working with business users to refine these agents.

Part-time student role supporting global IT: document IT-architecture changes, support digitalization in production and product development, explore AI applications, and develop Power BI reports. Work ~20 h/week while gaining practical experience in a global automotive supplier.

The role involves designing, developing, and deploying AI/ML solutions, managing data pipelines, and optimizing AI systems for operational improvements.

The Senior Manager of AI oversees AI initiatives across the company, guiding governance, coordinating efforts, driving innovation, and ensuring alignment with business strategies.

As a Machine Learning Engineer, you will develop algorithms, analyze architectures, create proof of concepts, and optimize existing solutions in a collaborative R&D team.

Design, implement, and optimize computer vision and deep learning algorithms for ADAS using camera feeds. Develop and validate detection, segmentation, tracking, and image-enhancement models, optimize for real-time embedded ECUs, analyze datasets, run experiments, debug defects, and integrate solutions into serial-production automotive systems.

The Machine Learning Engineer designs and implements ML models to enhance product quality, optimize logistics, and improve manufacturing processes, collaborating with various teams to drive innovation using data-driven solutions.

Interns will gain hands-on experience in data engineering, AI, and full-stack development, working on real-world projects involving data analysis, web applications, and AI/ML model support.

Productize internal AI/ML software prototypes into production-ready tools. Lead frontend and cloud deployments, gather user feedback, coordinate R&D and external partners, perform technical evaluations, manage project schedules, and support integration and validation across teams.