Top Machine Learning Jobs in Cologne

The Customer Success Engineer will act as a technical expert and advisor, ensuring customers adopt Deepgram's voice technologies effectively, manage customer relationships, conduct demos, and drive growth opportunities.

The EMEA Sales Leader will drive the company's expansion in the region, establish sales pipelines, develop partnerships, and oversee the sales team.

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.

Intern will develop and implement AI audio processing algorithms, prototype solutions, and collaborate with a multi-disciplinary team.

This co-op position involves prototyping and implementing AI audio processing algorithms. Responsibilities include working with digital signal processing, presenting findings, and integrating solutions into existing systems for customer projects.

The Applied Research Scientist will develop advanced tools for enhancing written English using NLP, ML, and DL technologies, contributing to product development and research strategy.

Join the TES team to support Solution Engineering by delivering complex technical use cases, assisting with PoV engagements, and gaining experience with identity security and SaaS technologies.

Join Welo Data as part of a global community focusing on data annotation and enhancing AI models with diverse linguistic expertise.

The Senior Technical Product Manager for AI Platform will drive the design and adoption of AI tools, create roadmaps, gather user feedback, and collaborate across teams to enhance the AI platform services.

The Lead Applied Scientist will lead a research team to develop AI solutions for Legal Tech, utilizing NLP, information retrieval, and machine learning, ensuring alignment with business objectives and product innovation.

As an Applied Scientist, you'll develop AI solutions using NLP and Machine Learning, ensuring alignment with business objectives and enhancing products.

Lead AI-powered analytics capabilities for customer engagement in pharma launches, collaborating with stakeholders to create data-driven solutions.

As a Datacloud and Agentforce Solutions Architect, you will support the sales cycle by designing POCs, advising technical stakeholders, and driving innovation in data and AI solutions.

As a Contract Technical Sourcer, you'll engage in top-of-funnel research and sourcing for technical roles, focusing on diverse talent. Responsibilities include conducting phone screenings and developing sourcing strategies.

As a Research Engineering Intern, you will develop scalable ML solutions, collaborate with a global team, and innovate using modern software practices.

The AI Research Scientist will conduct research to develop new ML models, lead projects, and explore data sources while collaborating with a global team.

The Applied Scientist will solve impactful problems using deep learning models and statistical analysis, translating commercial goals into technical solutions.

As a Senior Research Engineer, you will manage data lifecycle for researchers, build a human-centric data lake, and enhance model performance through high-quality datasets in an AI-driven environment.

The Staff Machine Learning Scientist will lead product vision through innovation, overseeing the R&D lifecycle, mentoring junior team members, maintaining research standards, and advancing AI technology in conversational systems.

As a Data Science Team Lead, manage a team of 7 data scientists, drive technical excellence, mentor staff, and enhance ML project delivery while ensuring alignment with organizational goals.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

The Senior Quality Operations Engineer will manage quality systems, ensure compliance with regulations, oversee audits, and optimize workflows in medical technology.

Lead Applied Scientist will innovate AI solutions, mentor teams, and contribute to strategy in information retrieval and NLP for products. Requires extensive experience and a PhD or equivalent.

The Applied Scientist Intern will participate in developing machine learning and NLP solutions, collaborating in a cross-functional team to innovate and solve real-world challenges.

The Technical Writer will create customer-facing documentation, collaborate with teams to improve user experience, and establish writing best practices.