Top Machine Learning Jobs in Germany

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.

This internship allows students to work on IT projects related to supply chain, data analytics, and digital transformation while gaining valuable industry experience.

The Developer Relations role involves building community engagement, creating technical content, managing social media, and collaborating on product development at Prior Labs.

The Product Manager for AI Platform will define strategy, implement AI solutions, ensure compliance, and collaborate with cross-functional teams.

The role involves leading the development of robotic solutions in agriculture, fostering innovation, building teams, and reporting progress to management.

Intern will control robots via VR for data collection, label visual data, assist with basic debugging, and collaborate with a tech team.

Develop and implement advanced generative AI models, collaborate with cross-functional teams, and innovate existing models for improved performance and speed.

The Pricing Advisory professional will assist clients in enhancing pricing strategies through consultation, model development, implementation support, and training sessions, while managing stakeholder relationships and navigating challenges in pricing sophistication.