Top Artificial Intelligence Jobs in Cologne

The Product Marketing Manager will develop global marketing strategies and go-to-market plans for Canonical's Machine Learning and Data Operations applications. Responsibilities include content dissemination, campaign planning, and product positioning, as well as collaboration with various teams to enhance marketing efforts and customer engagement.

The Sr. Course Development Engineer will create and improve technical courses on CodeSignal’s platform, mentor new team members, and collaborate to maintain high quality in course content.

The role involves providing coding expertise to train AI models by crafting and evaluating computer science questions and AI-generated code. It is a freelance opportunity with flexible hours, focusing on improving AI's coding capabilities.

The Privacy, AI & Data Protection Counsel will manage Wiz's privacy compliance program, work across international jurisdictions, review and negotiate Data Processing Agreements, and provide guidance on compliance matters related to privacy, data protection, and AI. This role involves collaboration with legal and security teams to ensure adherence to evolving regulations.

The Senior Software Engineer will focus on building reliable AI applications within n8n's platform. Responsibilities include designing scalable backend systems, working with APIs, and ensuring efficient database interactions while contributing to n8n's strategic growth in AI development.

As a Senior/Lead Data & MLOps Engineer, you will own the backend of the workflow mapping product, developing pipelines, and core components of ML systems. Responsibilities include writing algorithms, building data and ML training pipelines, collaborating with data scientists, optimizing model performance, and mentoring new team members.

In this role, you will enhance and scale the backend systems of Mimica's platform by designing and implementing a scalable architecture, developing backend services and APIs, and improving existing components' performance and reliability while also participating in architectural decisions and project management.

The Senior ML Engineer will own the components of the Machine Learning pipeline, involving research in Deep Learning, processing multi-modal data, and training models. Responsibilities include developing and deploying models, enhancing accuracy, mentoring engineers, and managing projects from spec to deployment.

The AI Sales Specialist will drive sales and consultancy for Cloud Services, engaging with customers and stakeholders to promote Red Hat's offerings. The role requires building relationships with cloud providers, leading competitive sales strategies, and providing feedback on product offerings, supported by over 5 years of experience in sales or delivery within enterprise software and a strong understanding of the Kubernetes ecosystem.

As a Data & AI Video Content Developer at DataCamp, you'll create engaging educational video content focused on data and AI for social media. Responsibilities include content prioritization, production, and post-production, collaborating with marketing and SEO teams to deliver high-quality materials. Strong communication and organizational skills are key, alongside a passion for data education.

Outlier is seeking software engineers to contribute coding expertise for training AI models. Responsibilities include crafting questions, evaluating AI-generated code, and providing human feedback to improve AI performance. No prior AI experience is needed, and the role offers flexible remote work hours.

The Staff Machine Learning Engineer will lead the design and integration of Generative AI solutions in Firefox, oversee the building of infrastructure for LLMs, implement validation procedures, and optimize models for performance.

The role involves rating and evaluating e-commerce data according to specific guidelines and conducting research to assess the usefulness of product filters and results. This position is ideal for entry-level candidates looking to gain experience in the AI and data annotation field, with flexible hours and work conducted remotely.

As a Senior Forward Deployed AI Engineer, you will work with Field Engineering to address application modernization projects, utilizing generative AI to improve the transformational processes. Responsibilities include evaluating, building and applying tools for modernization efforts, collaborating with project teams, selecting and developing tooling, and contributing to product roadmap definitions.

Join MongoDB's Field Engineering team to work on application modernization projects, exploring generative AI technologies, and providing feedback to R&D teams. Responsibilities include evaluating, building, and applying tools in modernization projects, facilitating tool usage, and shaping product roadmaps.

In this role, you will design, develop, and operate AI features that add customer value. You'll participate in requirements analysis, propose innovative AI solutions, write clean scalable code, and mentor team members while improving performance and security of voice solutions at Aircall.

Join Redis as a Principal Software Engineer to enhance the Vector and Search capabilities. Responsibilities include researching, designing, and implementing advanced algorithms for database systems, optimizing performance, and collaborating with teams to resolve complex issues in high-scale environments.