Top Machine Learning Jobs in Berlin
The Machine Learning Research Scientist role at Pfizer focuses on designing and implementing innovative machine learning tools to enhance drug discovery. Responsibilities include developing new approaches to analyze internal and external biomedical data, creating a knowledge graph, and collaborating with an interdisciplinary team to conduct studies and publish findings.
As a Senior Machine Learning Engineer at Contentful, you will design and implement ML solutions that enhance customer experience. Responsibilities include optimizing generative AI products, integrating ML cloud solutions, and driving ML education within the team. You will work on model development and ensure high-quality outputs for enterprise customers, emphasizing speed and scalability.
The Principal Product Manager will define AI platform product strategy, lead product development, and engage with customers to uncover insights. Responsibilities include defining product metrics, collaborating with engineers, and communicating project status to stakeholders, focusing on creating scalable solutions in a B2B environment.
The Engineering Manager in AI/ML will lead a team of engineers, focusing on product delivery, team development, and research in AI/ML technologies. Responsibilities include managing workflows, planning tasks, and ensuring timely delivery of solutions, while also engaging in architecture and scaling of production ML services.
As an ML Ops Engineer at Plato, you'll design and manage scalable data pipelines for ML models, maintain CI/CD workflows, automate customer onboarding, collaborate with data scientists, and integrate ML models into production environments.
The Head of ML Platform & Developer Productivity leads a team to optimize the ML development lifecycle, enhancing productivity across Zalando’s ML platform. This role involves defining best practices in MLOps, managing multiple interdisciplinary teams, and overseeing the delivery of high-quality models and systems that support the company’s ecommerce operations.
As a Growth Manager at Moloco, you'll drive client strategies to grow mobile businesses, comprehend marketing needs, work cross-functionally to identify account growth opportunities, analyze campaign data, and provide actionable insights to clients, utilizing Moloco’s programmatic solutions.
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.
The Engineering Manager leads a team focused on collecting and analyzing news articles related to Corporate Social Responsibility using AI models. Responsibilities include mentoring engineers, overseeing data pipeline development, ensuring product quality, collaborating with product leadership, and integrating machine learning techniques.
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 Engineering Manager will lead a cross-functional MarTech team to enhance customer acquisition by optimizing marketing spending, automating content creation with AI, and analyzing data for decision-making. Responsibilities include fostering team growth, managing large projects, and promoting an inclusive engineering culture.
Looking for a Data Analytics Principal to lead key business initiatives, provide data craft and project leadership, define standards, and mentor data analysts. Must have at least 8 years of experience and a strong background in data analytics, data science, or data engineering.
As a Senior ML Engineer, you will develop and maintain scalable machine learning products, operate backend microservices on Kubernetes and AWS, and improve data pipelines while collaborating with data scientists to productionize ML solutions. You will also participate in A/B testing, generate insights from customer data, and contribute to the engineering culture.
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.
The Senior Data Scientist will lead the development and implementation of advanced machine learning models to enhance ad effectiveness. Responsibilities include analyzing large datasets, researching trends in AdTech, mentoring team members, and driving innovation in data solutions to improve advertising strategies.
The Senior Machine Learning Engineer will analyze data, build and implement features to enhance model performance, and optimize recommendation systems. You will collaborate with various teams and present data findings to maximize business impact.
As a Presales AI/ML Engineer at Neptune, you'll be presenting the product capabilities to AI research and ML teams globally, crafting compelling narratives to accelerate their work and help them achieve AI breakthroughs.
As an Engineering Manager, you will lead multiple product teams focused on vegetation management and data ingestion by managing a team of engineers. You will foster a collaborative environment, provide support and coaching, make strategic technical decisions, and improve engineering practices while aligning with product managers' goals.
As a Senior Software Engineer, you'll develop AI-powered architecture design tools, contributing to web-based 3D frameworks and cloud computing projects. You'll collaborate within a team, share knowledge, and mentor peers, focusing on delivering impactful solutions.
As an Engineering Manager, you will work as a Senior Software Engineer and manage a group of engineers, developing AI-powered architecture design products while fostering team growth. You will engage in technical work, collaborate as part of product teams, and help build a solution-focused culture within the organization.
The Technical Product Manager will lead the development of the Analytics Application, translating business requirements into technical specifications, managing the product lifecycle, and collaborating with engineering teams to ensure feature implementation. The role requires a strong understanding of data analysis and visualization and demands effective communication with stakeholders while monitoring product performance metrics.
As a Product Manager at Buynomics, you will work with engineering teams to drive product development in data science, collaborate on the product roadmap, translate data science concepts into user-friendly features, and manage product requirements. You will also conduct user research, manage the product backlog, and monitor success metrics for data-related initiatives.
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.
You will lead efforts in machine learning and data science to enhance product performance, focusing on business results rather than academic research. Responsibilities include improving automated campaign steering, collaborating on data-driven solutions, and optimizing recommendation systems through data analysis.
The Strategic Partnerships Owner will develop and execute strategic partnership initiatives, identify high-impact collaboration opportunities, manage relationships with key partners, and oversee cross-functional teams to ensure effective partnerships that drive growth and value for Pacvue.
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