Top Machine Learning Jobs in Berlin

The AI Data Specialist will perform data-related tasks such as data collection, evaluation, annotation, and object tagging. Must have advanced English proficiency.

The Director of Sales will develop, execute, and manage sales strategies, particularly in Europe, focusing on revenue growth and customer relationships in the pharmaceutical manufacturing sector.

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

Lead the product vision for Payrails' Payouts product, managing the lifecycle from identification to launch, while aligning with business and customer needs.

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.

The Senior Data Scientist will design, experiment, and deploy ranking systems, driving personalization and user experience for the quick commerce business, collaborating with engineers to ensure scalability and business impact.

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.

As a Solutions Engineer, you'll collaborate with the sales team to demonstrate AI solutions to potential customers, conduct demos, and design POCs. You'll manage customer expectations, assist in technical discovery, and facilitate smooth transitions to implementation teams.

Lead business development in Life Sciences, drive client acquisition, and develop AI & Data strategies. Mentor teams and foster collaborations across departments.

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

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 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 Anti-Fraud & Abuse Engineer will design and operate systems to detect and prevent fraud, analyze misuse, and mitigate impacts.

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.

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

Designs and builds technical GTM experiments, demo applications, and integrations while collaborating with the founding team and early adopters. The role emphasizes fast iteration and collecting feedback.

The role involves developing and maintaining ML solutions for logistics, enhancing customer experience through efficient order allocation and delivery estimates.

Develop and validate ML models for clinical research, collaborating with stakeholders to extract insights from unstructured medical data.

The Director of Portfolio Management leads a team in optimizing energy portfolios, managing contracts, ensuring financial oversight, and integrating renewable assets, while fostering collaboration and stakeholder management.

The Senior Account Executive drives adoption of AI-based fraud and financial crime solutions, fostering relationships with financial services clients, achieving sales targets, and defining sales strategies in a quota-carrying role.

The Product Manager will integrate AI and automation into operations, driving product strategy, collaboration, and market advancements in trading and risk management.

As a Principal Software Engineer, you'll lead multiple teams in Risk Management, designing cloud-based solutions, mentoring engineers, and driving innovation.

Lead the development and enhancement of LLM-powered products, collaborating with cross-functional teams to create innovative AI-driven solutions.

The Research Scientist will investigate complex research questions using AI, develop innovative solutions, and create evaluations ensuring trustworthy information.