Top Machine Learning Jobs in Cologne

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.

As a Senior Product Manager focused on search experience, you will enhance the end-to-end search functionality for customers, improve search relevance, and collaborate with data science teams to develop measurement frameworks for better UX.

The AI Lead Product Manager will define and own the product strategy for AI-powered health data, lead product teams, engage with stakeholders, and ensure compliance with regulations.

Work on prototyping and implementing audio ML algorithms for real-time applications. Present findings and integrate solutions into existing platforms. Collaborate with experts in ML and DSP.

The Senior Data Scientist will build end-to-end data science solutions, collaborate across teams, and communicate results to stakeholders, impacting business decisions.

Lead the development of fraud prevention products, collaborating with technology and risk teams, analyzing trends, and ensuring compliance with regulations.

The Senior Application Engineer will support customers by deploying technology on projects, training them on tools, and providing feedback to R&D. They require experience in RTL2GDS implementation and knowledge of Cadence or Synopsys tools.

The Functional Safety Manager will lead ISO 26262 certification activities, define safety strategies, conduct risk assessments, and ensure compliance across hardware and software teams.

The intern will contribute to MLOps, design AI/ML systems, implement research ideas, and work on various optimization models, while gaining hands-on experience.

As a Research Engineer, you'll develop and manage data systems for text-to-speech projects and enhance machine learning models using innovative strategies.

Manage various AI/ML projects from concept to development, coordinating teams, managing risks, and ensuring project goals are met. Responsible for documentation and financial planning.

The role involves driving new AI software sales, engaging with executives, and leveraging industry expertise to close large enterprise deals.

Lead AI practice research and thought leadership to help enterprises scale AI for business value. Produce insights, advise executives, present at events, support sales, and collaborate on market analysis and content.

The Senior AI Engineer will design and build scalable AI systems, develop end-to-end pipelines, and collaborate with stakeholders to enhance digital healthcare solutions.

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.

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

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

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

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

The Data Scientist will solve real-world problems using data science, design data pipelines, implement algorithms, and collaborate across departments, with a focus on producing high-quality, maintainable code.

The AI Content Evaluator will review and assess content for alignment with guidelines, ensuring quality and consistency in annotation. Responsibilities include evaluating various content types, applying structured criteria, and adhering to project guidelines.

The role involves designing and testing AI solutions, managing research projects, collaborating with teams, and introducing new ML concepts for product development.

The role involves consulting with clients on technical needs, delivering customized demonstrations, and contributing to sales strategies while ensuring alignment with FICO's analytics solutions.