Top Machine Learning Jobs in Berlin

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.

As the Head of Applied Science for Performance Marketing at Zalando, you'll lead a team in crafting data-driven strategies that enhance marketing effectiveness. Your role involves applying machine learning, predictive models, and causal inference to optimize marketing performance and drive substantial customer value. You'll mentor applied scientists, keep the team informed of the latest research, and ensure high-quality outcomes through collaboration with other departments.

As a Machine Learning Engineer at Grover, you will deploy and productionize machine learning models for credit risk and fraud detection, collaborate with data scientists, maintain ML pipelines, and support real-time decision engines. You will also develop and optimize deployment pipelines.

The Key Account Manager will develop and expand revenue activities within Tier 1 Banking clients focusing on fraud prevention solutions. Responsibilities include creating strategic sales plans, building relationships, achieving revenue targets, and identifying new business opportunities.

As a Commercial Analytics Engagement Manager at Veeva Systems, you will lead the deployment of segmentation and targeting analytics solutions with customers in the Life Sciences industry. You will work with a diverse team of data scientists, consultants, and experts to translate customer business problems into solutions, build relationships, and develop the team. This role offers opportunities for growth and learning in a fast-growing service environment.

The Head of AI will define and lead the AI strategy at Omio, drive product innovation through AI solutions, oversee the development and deployment of machine learning models, lead an AI team, and maintain industry knowledge for continual improvement and experimentation with AI technologies.

The Senior Data Scientist will work within the Pricing & Incentives team at Wolt, focusing on consumer-first pricing strategies. Responsibilities include conducting experiments, performing advanced data analysis, and collaborating with cross-functional teams to enhance pricing and incentives solutions.

As a Staff Engineer at Overstory, you will lead the evolution of web tools for utility companies to manage climate risks. Your role involves addressing performance and scalability challenges, collaborating across teams, making critical technology decisions, and mentoring engineers to drive the company's mission forward.