Top Machine Learning Jobs in Hamburg

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.

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.

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

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.

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

Manage a portfolio of customers, ensuring they maximize value from Sardine's fraud prevention and compliance products while collaborating with internal teams and analyzing performance metrics.

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

Lead engineering projects in data acquisition, curate multimodal datasets, develop scalable data pipelines, and conduct experiments for insights in AI.

The Senior Account Manager will engage AI Natives, build partnerships, drive demand for NVIDIA AI technology, and lead virtual teams across various sectors.

Lead the development of large language models for marketing technologies, optimize AI solutions, and mentor junior team members to drive innovation and quality.

As a Software Engineer Intern, you will build features for user-facing products, design data pipelines, implement scalable services, and contribute to technical documentation while being part of a collaborative team.

The Enterprise Account Executive will drive new client acquisition, develop sales pipelines, and close business deals by partnering with clients and understanding their needs.

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

As a Machine Learning Engineer, you will build and optimize AI systems for Dropbox Dash, collaborating across teams to enhance multimedia experiences.

Manage post-sale customer relationships, ensure renewals, drive product adoption, provide technical expertise, and manage customer satisfaction and escalations.

Investigate sophisticated attack chains across cloud environments, analyze cyber threats, and provide insights to enhance cybersecurity solutions.

As a Product Manager for the Identity Platform, you will define product strategies, collaborate with technical teams, and ensure effective identity verification and fraud detection systems are built and maintained.

Lead a team of ML Engineers to develop and optimize ML systems, ensuring high-quality clinical care through AI. Foster collaboration across teams for innovative AI/ML features.

As a Senior Data Scientist at Chaos Labs, you'll enhance modeling capabilities and deliver insights for decentralized finance, collaborating with engineering and product teams.

As a Junior Pricing Manager, you will analyze sales prices, manage pricing strategies, collaborate on machine learning for optimization, and report performance KPIs across multiple markets.

Lead the AI compiler team to develop compilers for NextSilicon's platforms, leveraging expertise in large-scale compiler development and machine learning.

As a Data Science Manager, you lead a team, manage data-driven marketing projects, enhance team competencies, and engage with C-level clients to drive business transformations.

The Senior Director Analyst will conduct research and analysis in data management, focusing on trends, best practices, and emerging technologies, while supporting sales and client engagement.

Responsible for developing backend AI features, integrating machine learning models, building data pipelines, and maintaining AI services within a retail ecosystem.