Top Machine Learning Jobs in Berlin

The role involves data extraction from medical records, ensuring data quality, and collaborating with cross-functional teams to support product development and clinical documentation.

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 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 Staff Machine Learning Engineer, you will design and build ML systems to enhance advertising experiences, collaborate with teams, mentor others, and innovate in areas like generative AI and NLP.

The Senior Machine Learning Engineer will develop and deploy ML-based software, collaborate with stakeholders, and enhance Smartly's MLOps platform, impacting advertising experiences.

The AI Business Development Specialist will identify business opportunities, build client relationships, and promote AI solutions in various sectors, with a focus on the MENA region.

The role involves building AI solutions for logistics, focusing on designing production-grade systems, problem-solving, and technical ownership without people management responsibilities.

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

The role involves enhancing search systems through advanced NLP and IR methods, developing scientific roadmaps, mentoring junior scientists, and applying machine learning solutions for better customer experiences.

As a Product Manager for the AI Platform, you will define and operationalize AI capabilities, manage strategic roadmaps, ensure compliance, implement use cases, and lead cross-functional teams to enhance client experiences.

As an Enterprise AI Adoption Manager, you will guide companies in adopting AI, manage enterprise accounts, drive AI transformation, and work closely with engineering and product teams to deliver value.

Develop core methods for temporal ontology extraction and contradiction detection. Collaborate with research teams and publish findings. Prototype ideas, create datasets, and validate methods.

Lead the new Revenue Technology domain, managing teams, driving technical excellence, optimizing processes with AI, and representing engineering in commercial discussions.

The Head of Computer Vision will lead a team of ML Engineers, drive the long-term ML strategy, focus on breakthrough innovations, and establish cross-functional partnerships while mentoring and scaling the team effectively.

Lead the AI Foundations team, focusing on machine learning applications in AdTech, ensuring compliance, mentoring, and driving AI adoption and excellence.

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/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.

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.

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.

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

The role involves developing new AI model architectures and adapting existing models, conducting experiments, and contributing to technical strategy in a high-growth research environment.

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.

As an Intern Data Labeler, you will label and annotate various data types to enhance customer experience and support the Consumer Team's innovative projects.

Lead the Applied Science team to build frameworks for marketing effectiveness focused on causal inference and ROI to inform investment decisions across branding campaigns.

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.