Top Machine Learning Jobs in Germany

CrowdStrike seeks a Senior Intelligence Analyst to provide threat intelligence and digital risk monitoring, collaborating with teams to deliver customer-focused solutions and presentations, while maintaining customer relationships.

This internship at Boeing involves research in aviation trends, working in an interdisciplinary lab, and contributing to innovative flight operations ideas.

The internship involves contributing to research in future flight operations, urban air mobility, and machine learning applications in an international team within a lab setting at Boeing in Germany.

The role involves data extraction from medical records, ensuring data quality, and collaborating with cross-functional teams to support product development and clinical documentation.

The role focuses on strategic sales development, building partnerships with MSP/MSSP organizations to promote SailPoint's Identity Security solutions and driving revenue growth through collaboration and relationship management.

The VP of Value Engineering for DACH leads Value Engineers to enhance customer success through AI-driven process improvements, while driving ARR and product adoption.

As a Sales Account Executive at Qualtrics, you will drive commercial growth by selling market research solutions, cultivating relationships, and developing account strategies for new business in diverse industries across the EMEA region.

As an AI Architect, you will provide technical guidance on GenAI technologies, collaborate with teams, and lead enablement programs to drive customer value.

The Account Executive will drive new business by selling SaaS solutions to Managed Service Providers in the Nordics, managing the full sales cycle, and achieving revenue targets.

This role involves driving AI and Data sales strategies, engaging with senior executives, and achieving sales quotas by delivering tailored solutions that transform customer operations.

The Solution Architect will lead the technical architecture across Automation, Analytics, AI/ML, and Cloud. Responsibilities include managing solution design, collaborating with cross-functional teams, ensuring operational excellence, and mentoring team members while engaging with customers.

The role involves developing and optimizing perception models for ADAS/AD, ensuring performance on embedded hardware, and translating research into production pipelines.

Lead the AI Foundations team, focusing on machine learning applications in AdTech, ensuring compliance, mentoring, and driving AI adoption and excellence.

The Lead Software Engineer will design, develop, and maintain software systems for ML use cases, apply engineering best practices, and collaborate with ML engineers and data scientists.

The Global Campaign of Learning Specialist will enhance operational effectiveness for USAFRICOM by integrating best practices, advanced technologies, and training programs. Responsibilities include real-time observation capture and analysis to improve decision-making.

Develop core methods for temporal ontology extraction and contradiction detection. Collaborate with research teams and publish findings. Prototype ideas, create datasets, and validate methods.

As an AI Product Manager, you will define the product roadmap, collaborate with teams to launch AI features, and drive data-driven decisions.

Lead the LLM team to architect, train, and deploy AI models, optimizing real-time user experiences and creating advanced moderation systems.

The Head of Computer Vision will lead a team of ML Engineers, drive the long-term ML strategy, focus on breakthrough innovations, and establish cross-functional partnerships while mentoring and scaling the team effectively.

The role involves enhancing operational effectiveness in military operations through exercise development, collaboration, and innovation methodologies, focusing on integrating advanced technologies.

The Sales Account Manager will develop business from new accounts, manage strategic partnerships, collaborate with leadership, and enhance BioCatch's brand in Germany while exceeding sales objectives.

The Applied Machine Learning Scientist will innovate and implement ML algorithms to enhance advertising performance, collaborate with engineers, and prototype in data-driven models.

As a Data Scientist, you'll analyze complex datasets to provide insights for various sectors, develop predictive models, and guide teams. You'll utilize your expertise in Machine Learning and AI to turn data into actionable solutions.

The Principal Data Scientist leads advanced mathematical and statistical modeling to solve business problems, focusing on healthcare trends forecasting and effective stakeholder communication.

The role involves building AI solutions for logistics, focusing on designing production-grade systems, problem-solving, and technical ownership without people management responsibilities.