Top Machine Learning Jobs in Germany

The role involves system engineering and project management for ground segment systems, including requirements management and service definition. Responsibilities also include the development of ML/AI applications and verification/validation activities.

As a Machine Learning Engineer, you'll develop solutions analyzing surgical videos, contribute to software components for medical use, and improve surgery outcomes.

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

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

Design and implement architectures with generative AI models, optimize LLM performance, research advancements in AI, and collaborate with teams to develop solutions.

As a Partner Solutions Architect, you will build and maintain technical relationships with partners, support solution development, and enable AI practices to drive revenue.

Lead business development in Life Sciences, drive client acquisition, and develop AI & Data strategies. Mentor teams and foster collaborations across departments.

The Senior Technical Product Manager will shape product strategy for Constructor's platform, ensuring capabilities support scalability and security for learning applications.

Develop and integrate reinforcement learning agents into autonomous aerial systems, ensuring reliability and performance. Collaborate with teams and enhance the software stack while mentoring peers.

Lead the core biometric recognition technology team, managing the full lifecycle of ML systems focused on iris and face recognition while ensuring privacy and reliability at scale.

The Expert AI Director will lead AI programs, manage relationships with stakeholders, ensure project alignment with business goals, and mentor teams.

Lead AI and machine learning architecture, mentor teams, drive innovation, and evaluate tools for AI systems development across global teams.

As a Senior/Staff Product Manager, you will drive the strategy and execution for the marketplace, enhancing partner experiences and collaborating with cross-functional teams to optimize product offerings.

The role involves developing AI models for code analysis, enhancing ML techniques specific to programming, and collaborating to integrate prototypes into products.

Lead and grow a team of Product Managers to enhance customer experiences on a global scale by defining content strategies and evaluating tech solutions.

As a Senior Solutions Consultant at Feedzai, you will drive sales for the RiskOps platform by understanding and addressing clients' technical needs, delivering product demonstrations, and managing formal tenders and proposals.

The Staff AI/ML Engineer leads complex AI/ML system architecture, technical strategy, and mentoring while driving innovation and business alignment across teams.

The Senior Product Manager will lead the DPAI Arena project's evaluation standards, working with stakeholders, curating datasets, and defining metrics for success.

The role involves building and scaling data pipelines, ensuring efficient data flow for ML model training and evaluation, and collaborating on data needs.

As an Industry AI Sales Specialist at HPE, you will develop sales strategies for AI and HPC, engage with IT decision-makers, and guide customer decision-making while achieving sales quotas.

Lead strategic client relationships and drive business growth for FICO by structuring complex deals and providing innovative analytics solutions.

As a Data & Analytics Analyst, you'll collaborate with clients to create tailored solutions, implement prototypes, and share ideas to solve analytical challenges.

Lead research in reinforcement learning and model alignment, mentor scientists, and drive innovations from conception to production deployment.

Proxima Fusion seeks passionate candidates for unsolicited applications to contribute to innovative clean energy solutions and support the development of fusion technology.