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Top Machine Learning Jobs in Germany
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 cross-functional product development, and engage with customers to discover insights for scalable, enterprise-focused solutions. This role requires strategic thinking and strong communication skills to ensure alignment across teams and successful product launches.
As a Machine Learning Manager, you will lead a team of 10-15 ML engineers, overseeing the development and deployment of scalable ML solutions, collaborating with data science and backend teams, and managing ML projects to drive business results.
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.
The Strategic Sales Representative will sell SailPoint's IGA Solution Suite to large organizations, focusing on navigating multinational accounts, especially at the C-level. The role involves engaging target customers, managing lengthy sales cycles, and utilizing the Challenger sales methodology to close high-value contracts and develop strong relationships with senior clients and partners.
The Strategic Sales Representative will sell SailPoint's IGA Solution Suite to large organizations, primarily focusing on enterprise security. The role requires navigating multinational accounts and C-level negotiations, utilizing the Challenger sales methodology to engage with 10-12 target customers. Key responsibilities include developing value propositions and closing contracts while maintaining relationships with senior decision-makers.
As a Senior ML Engineer, you will lead the development of the company's computer vision capabilities, managing data labeling, building ML training pipelines, and ensuring models are deployed and maintained effectively to support key client features.
As the Director/Senior Director of Strategic Solutions, you will engage with global customers to enhance their digital transformation strategies. Your responsibilities include strategizing customer engagement, managing account sales, collaborating with engineering and marketing teams, and driving business development. You will represent C3 AI, utilizing your expertise in AI and machine learning to implement AI solutions effectively.
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The Industry Solution Director is responsible for leveraging technical and domain expertise to apply C3 AI solutions in complex predictive and prescriptive scenarios, driving projects from conception to implementation. Key responsibilities include client communication, scoping workshops, data architecture design, and collaboration with product teams to enhance application functionality.
The Group Vice President of Sales at C3.ai is responsible for leading a sales team in the DACH region, focusing on new customer acquisition and sales execution. They will develop sales strategies, achieve growth targets, manage key accounts, and collaborate with senior executives. The role requires extensive experience in enterprise software sales and proven success in exceeding sales goals.
The Senior Applied Scientist will improve algorithms that match customer preferences with brand offerings, focusing on the impact of ads in a marketplace setting. Responsibilities include econometric modeling, designing digital markets, and implementing research products in collaboration with engineers to drive actionable insights.
The Research Engineer at Autodesk will lead engineering projects focused on data acquisition, processing, and experimentation to build ML-powered product features. This role involves organizing diverse datasets into unified formats suitable for machine learning while collaborating closely with researchers. Responsibilities include developing pipelines, conducting experiments, and ensuring data compliance.
The Engineering Manager will lead a cross-functional team of engineers and data scientists focused on improving translations using AI and ML. Responsibilities include managing the technical roadmap, mentoring team members, ensuring best practices in software development, and collaborating with product management to meet business goals.
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.
The Product Manager for Recommendations will drive strategy and development of data science-powered features, collaborate with data scientists and engineers, oversee product backlogs, conduct A/B testing, and create technical documentation. The role focuses on enhancing user experience in the food delivery sector using machine learning.
Lead a team in global discovery focused on Search and Recommendation services using Machine Learning and AI to enhance customer experience. Supervise the machine learning project lifecycle, improve team performance, and collaborate with product teams to develop impactful solutions. Mentor and guide data professionals while setting long-term strategic goals for the organization.
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.
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.
As a Data Science Graduate, you will develop and deliver analytical strategies for Visa's clients in Europe. Your role involves coding, managing data, conducting analysis, and promoting data-driven culture while collaborating with various teams and clients to deliver actionable insights.
As a Senior AI Engineer, you'll develop and deploy AI technologies for the remberg XRM system, collaborating closely with founders, improving product features, building data pipelines, and integrating proprietary data sources while optimizing performance and ensuring stability.
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.
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 Principal Data Scientist will lead advanced analytics and data science initiatives at Cint, focusing on media measurement and data solutions. Responsibilities include developing and deploying statistical models, collaborating with teams to refine methodologies for media platforms, managing projects, and mentoring junior data scientists. Communication of complex insights to non-technical stakeholders is also essential.
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.
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