Learning Experience & Solutions Specialist

Forvis Mazars operates in over 100 countries, establishing our presence as an essential player in the fields of Audit, Tax, and Advisory. As an integrated partnership with over 40,000 professionals, including more than 2,700 across 13 locations in Germany, we are among the leading firms in auditing and consulting, leveraging our strengths to support business…

About the CompanyAndercore is an innovative AI-powered trading platform revolutionizing the industrial supply chain for infrastructure, energy, and construction materials. We connect thoroughly vetted suppliers from Asia, Europe, and the GCC region with local demand through a seamless integrated platform.Our proprietary AI technology digitizes and automates the entire lifecycle of materials trade—covering procurement, pricing, inventory management, logistics, and embedded financing—thus transforming countless manual processes into real-time, orchestrated workflows.Buyers enjoy instant quotes, dependable availability, and predictable delivery via our unified operating system. Suppliers benefit from precise forecasting, effective demand management, and smooth integration into cross-border fulfillment networks. We collaborate with leading brands to execute both dropship and cross-dock fulfillment strategies for large-scale transactions, turning global supply chains into predictable, repeatable, software-driven workflows.Having achieved triple-digit million GMV and operating in six international markets, we are swiftly moving towards profitability. With a diverse team of over 80 members based in Berlin and Asia, we are on a mission to build the world’s first industrial-grade AI operating system for materials—redefining the dynamics of global trade in one of the most critical industries.Backed by top-tier investors and global banking partners, we recently secured a $40 million Series B funding round led by Atomico, Project A, and Invent Capital, supported by institutional backing from Commerzbank and KfW.About the RoleAs a Senior Backend Engineer, you will serve as a technical pillar within our team, expected to lead by example, influence architectural decisions, and elevate the quality of our deliverables. You will work autonomously while remaining deeply embedded in a collaborative engineering culture.Tech Stack: Java 21 (Spring Boot 3), Python, LangGraph, LLM APIs (OpenAI, Anthropic, Gemini), PostgreSQL, Kinesis, AWS, Terraform, GitHub Actions, Node.js, TypeScript, Next.js, React.

About Tide Tide supports small and medium-sized enterprises (SMEs) by simplifying banking and administrative processes. The company offers business accounts, banking services, and integrated solutions such as invoicing and accounting. With a community of more than 1.8 million members across the UK, India, Germany, and France, Tide continues to shape the landscape for small business banking. Its technology-driven approach ensures fast onboarding and low fees, using data insights to help SMEs save time and money. Available to SMEs in the UK, India, Germany, and France Over 1.8 million registered members (800,000 in the UK and 1 million in India) More than $300 million in funding secured Global team of over 2,500 employees Offices in Central London, Sofia, Berlin, Paris, Luxembourg, and tech hubs in Serbia, Romania, Lithuania, Hyderabad, Gurugram, and New Delhi Where You’ll Work Tide is growing its team in several locations: India (Hyderabad, Delhi NCR, Bengaluru) and Europe (London, Serbia, Sofia, Lithuania, Berlin). Role Overview: Staff Software Engineer – Agentic Platform This role joins the AI transformation within financial services. Work with a skilled team to build high-quality, scalable products that drive real change. The position focuses on connecting advanced backend systems with Generative AI, designing frameworks and platforms that enable secure and efficient scaling of AI capabilities across Tide. This work will shape long-term technical strategies. What You’ll Do Build core services for Tide’s agentic platform, including APIs, workflow orchestration, and tool integration Improve delivery by integrating third-party components and developing custom solutions as needed

Embark on a Transformative Journey in Technology!Join Zoi, where we revolutionize manufacturing and retail sectors through cutting-edge AI-driven strategies that yield tangible business outcomes. We don’t just provide insights; we actively implement, operate, and scale AI solutions that empower enterprises to gain a competitive edge.Our European teams are growing, with opportunities in Stuttgart, Berlin, Cologne, Lisbon, and Barcelona, as well as our international hub in Mexico City. Choose your preferred Zoi location, with travel opportunities among our offices.Your Role:As a Cloud Partnership Development Manager, you will be instrumental in fostering and expanding strategic partnerships with major cloud providers.Partner Relationship Management: Cultivate and enhance our strategic alliances with industry leaders like AWS, Google, Microsoft, and SAP by leveraging exceptional communication skills and a strong sense of accountability.Go-to-Market Strategy: Collaborate cross-departmentally with technology specialists and commercial teams at Zoi to design and implement GTM strategies that align our initiatives with market needs and partner objectives.Revenue Growth: Partner with internal teams, including communications, marketing, and sales, to ensure a unified approach to business development. Maintain relationships with our partners’ sales organizations to pinpoint and create new customer opportunities.Internal Enablement: Equip Zoi teams with partner-focused training, resources, and tools, ensuring they are prepared to close deals and deliver successful projects.Your Profile:You are a dependable leader with a passion for technology and a commitment to making a significant impact.You possess several years of experience in partnership management, solution sales, or consulting within a B2B digital/tech context, ideally in a cloud-native enterprise.Your enthusiasm for the Cloud and AI ecosystems drives your work and inspires those around you.You excel at building and maintaining trusted relationships with partner organizations to facilitate collaborative initiatives and mutual business growth.

Join Peec as our Director of Data Science!At Peec, we are on a mission to revolutionize AI-driven search recommendations. We are seeking an experienced Director of Data Science to lead our talented team, drive innovation, and develop cutting-edge machine learning solutions that will define the future of our products.Your ResponsibilitiesLead, mentor, and inspire a high-performing data science team, effectively communicating complex technical concepts to stakeholders including executives, customers, and partners.Design, implement, and manage the machine learning models that enhance Peec’s AI Search recommendations, taking ownership of our critical ML systems.Innovate and develop state-of-the-art algorithms that dissect AI search and LLM behavior, translating deep technical knowledge into competitive advantages for our customers.Oversee the entire ML lifecycle, from foundational research and rigorous testing to deployment, monitoring, and constant enhancement.Architect scalable data and ML systems, making impactful decisions regarding data pipelines, modeling methodologies, evaluation processes, and model deployment.Write and review high-quality production code, establishing a technical standard for the organization.Your QualificationsMinimum of 8 years of professional experience in data science, with at least 3 years in a leadership position at a high-growth startup or a top-tier tech company (e.g., Tech Lead, Engineering Manager, or Software Development Manager).A proven leader in data science with a unique blend of technical expertise and proven track record of delivering impactful ML products in dynamic environments.Experience in owning and scaling complex ML systems from initial research ideas to reliable, high-impact production solutions.Exceptional proficiency in Python and applied machine learning with a strong understanding of APIs, data pipelines, ML infrastructure, and production reliability.A solid, foundational understanding of LLMs and AI search systems, with the capability to critically analyze, reverse-engineer, and reason about model behaviors.Track record in making significant decisions that drive data science initiatives forward.

Join our innovative team at billie as a Data Scientist (w/m/d) in the vibrant city of Berlin. We are seeking a data-driven individual who is passionate about leveraging data to drive business decisions and improve outcomes. This role involves analyzing complex data sets, building predictive models, and collaborating with cross-functional teams to enhance our product offerings.

About the CompanyCoretylynt is an innovative AI-powered trade platform revolutionizing industrial supply chains in infrastructure, energy, and construction materials. By linking verified suppliers across Asia, Europe, and the GCC region with local demand through a comprehensive integrated system, we are transforming the way materials are traded.Our proprietary AI technology automates and digitizes the entire lifecycle of materials trade, covering procurement, pricing, inventory management, logistics, and embedded financing. This replaces traditional, manual processes with real-time orchestration, enabling buyers to receive instant quotes, ensure reliable availability, and predict delivery times through a unified operating system.For suppliers, we offer precise forecasting and effective demand management while facilitating seamless integration into cross-border fulfillment networks. We collaborate with leading brands to manage both dropship and cross-dock fulfillment for large transactions, turning global supply chains into systematic, software-like workflows.With backing from top-tier investors, we have achieved substantial growth, operating across six international markets and rapidly moving towards profitability. Our team of over 80 professionals, based in Berlin (our headquarters) and Asia, is dedicated to developing the world’s first industrial-grade AI operating system for materials, fundamentally redefining global trade in one of the most crucial sectors.In the realm of FinTech, precision is paramount. As a Backend Engineer, you will be responsible for the backend infrastructure that underpins payments, financial data handling, reconciliation, and compliance-critical workflows, where accuracy and auditability are essential.Tech Stack: Java 21 (Spring Boot 3), Python, PostgreSQL, AWS, Kinesis, Terraform, GitHub Actions, TypeScript.

About the Companyandercore is a pioneering AI-driven trade platform reshaping the industrial supply chain for critical sectors including infrastructure, energy, and construction materials. By connecting thoroughly vetted suppliers across Asia, Europe, and the GCC region with local demand, our integrated platform streamlines the procurement process.Our proprietary AI technology digitizes and automates the entire materials trade lifecycle — from procurement and pricing to inventory management, logistics, and embedded financing. This innovative approach replaces cumbersome manual processes with real-time orchestration, enhancing efficiency.Buyers experience faster access to quotes, reliable availability, and predictable delivery through our unified operating system. Meanwhile, suppliers benefit from improved forecasting, disciplined demand management, and seamless integration into cross-border fulfillment systems. We collaborate with industry-leading brands to manage both dropship and cross-dock fulfillment operations for high-volume transactions, transforming global supply chains into predictable, software-like workflows.With a robust growth trajectory and triple-digit-million GMV, we are actively expanding our presence across six international markets, moving swiftly toward profitability. Our team of over 80 professionals, based in our Berlin headquarters and Asia, is dedicated to building the world’s first industrial-grade AI operating system for materials, fundamentally altering the landscape of global trade in one of the world's largest and most vital industries.Supported by top-tier investors and global institutional banking partners, we proudly closed a $40 million Series B funding round, with contributions from Atomico, Project A, and Invent Capital, alongside institutional backing from Commerzbank and KfW.In the world of finance, precision is paramount. As a Backend Engineer, you will be integral to the backend infrastructure that manages payments, financial data, reconciliation, and compliance-critical workflows, where accuracy and auditability are essential.Tech Stack: Java 21 (Spring Boot 3), Python, PostgreSQL, AWS, Kinesis, Terraform, GitHub Actions, TypeScript.

Join Wabtec Corporation as a CNC Machine Operator (m/f/d) and be part of a dynamic team dedicated to innovation and quality in manufacturing. In this role, you will operate CNC machines to produce precise components for various applications. Your attention to detail and commitment to excellence will contribute significantly to our production processes.

Join our innovative team at Cint as a Senior Full-Stack Machine Learning Engineer, where you will excel at the convergence of software engineering and data science. This pivotal role allows you to transform raw data into impactful product solutions. You won't be just training models in isolation; instead, you will design and implement the data pipelines that empower them, as well as the production frameworks that deliver their outcomes.This hybrid position is ideal for a creator who possesses a scientific mindset. You will not only construct the engines of machine learning (ML Engineering) but also serve as a guide (Data Science), leveraging data to inform our product's future direction.Your Key Responsibilities:End-to-End ML Lifecycle: Spearhead the design, development, and deployment of production-grade ML models utilizing Python and Spark. You will oversee the complete lifecycle from feature engineering to model performance monitoring.Data Architecture & Pipelines: Develop and sustain robust data pipelines in our Databricks ecosystem.Exploratory Data Analysis (EDA) & Discovery: Conduct in-depth analysis of extensive datasets to identify hidden patterns, anomalies, and growth opportunities, interpreting the implications for our users.Statistical Rigor & Hypothesis Testing: Design and implement rigorous A/B tests and multivariate experiments, responsible for calculating sample sizes, p-values, and confidence intervals to validate product changes statistically.Metric Definition: Collaborate with stakeholders to establish what

Join our dedicated team at DEK Deutsche Extrakt Kaffee GmbH, where we produce high-quality instant coffee in our state-of-the-art production facility. As a Machine and Plant Operator, you will work alongside approximately 200 colleagues to ensure our production systems operate smoothly and efficiently. We prioritize safety, responsibility, and mutual respect, while deriving joy from crafting excellent coffee together.In your role, you will operate, monitor, and set up our modern production equipment, contributing to a seamless production process. Your commitment to upholding our quality and hygiene standards will be essential in delivering top-notch products. You can look forward to a diverse range of responsibilities, a collaborative work environment, and a structured onboarding process guided by experienced colleagues.Our work schedule follows a rotating 5-shift system (full-time, 35-hour week) with regular days off and attractive shift premiums, including weekend and night shifts.With your completed technical training—be it as a Machine and Plant Operator, Food Technology Specialist, Industrial Mechanic, or a similar qualification—and your willingness to work in a fully continuous shift system, you will be an ideal addition to our team.

Are you passionate about the cloud? Whether it's AWS, Microsoft, Google, or SAP, we want you on our team! At Public Cloud Group (PCG), we empower businesses to modernize, secure, and future-proof their IT landscapes in the cloud.With nearly 500 cloud experts across 21 locations in Europe, our team is rapidly expanding. Join us at PCG DACH and leverage your expertise in an environment that thrives on cloud innovation!Explore more about our workplace culture on our Career Page.We are currently seeking a Google Workspace Engineer (m/w/d) to join our team full-time as we continue to grow.Join our dedicated 20-member Google Digital Workplace Team, led by Oliver Ganswig, as we design the digital workplaces of the future for our clients.Engaging projects provide numerous opportunities for you to continuously develop and exceed your own expectations—the cloud is just the beginning!Curious about what it's like to work with us? Check out this insightful employee interview: Team Member Interview.Are you ready to help shape the digital workplaces of tomorrow for our clients? If you crave a collaborative environment that values team spirit, we are eager to meet you!Choose your preferred working setup—whether on a Mac or Windows, from home or in the office, work wherever you feel most productive.What We Offer:Ultimate Flexibility: Work the way that suits your lifestyle—remotely across the country, in a hybrid setup, or at one of our offices in Germany (Magstadt, Darmstadt, Berlin, Munich, Hamburg, Cologne, Ulm, Heidelberg, Frankfurt).Workation: Want to explore new places while working? Enjoy up to 30 days of workation each year, blending work and adventure.Time Off: Benefit from generous time-off policies to recharge and rejuvenate.

Your RoleDevelop, test, and deploy models that enhance Peec AI's recommendations, enabling customers to improve their visibility in AI-driven searches.Create algorithms to derive actionable insights from AI search behaviors, delivering data-informed suggestions that elevate brand visibility in AI search.Manage the complete model lifecycle from research to production, collaborating closely with engineering to seamlessly integrate machine learning solutions into our systems.Design and implement robust data pipelines to ingest, process, and analyze extensive datasets.QualificationsDemonstrated backend development expertise in Python, with experience in building APIs, data pipelines, or machine learning infrastructure, and familiarity with tools such as FastAPI, Docker, and cloud platforms (preferably GCP).A profound interest in understanding how LLMs function, with the capability to reverse-engineer AI search behavior and translate findings into actionable product features.A proven ability to transition projects from research to production in a fast-paced startup environment, showcasing strong problem-solving skills and adaptability in addressing ambiguous and evolving challenges.Exceptional communication skills, capable of articulating complex technical concepts to both customers and stakeholders.Our Data Science StackLanguages: Python, SQLLibraries: Pandas, NumPy, HuggingFace, PyTorch, TensorFlow, ONNXBackend: GCP, Cloud Functions, Firestore, Postgres, AlloyDB, BigQueryAI Models: OpenAI, Claude, Perplexity, Gemini, Llama, etc.Bonus PointsContributions to open-source projects.Deployment of side/hobby projects.

Billie builds Buy Now, Pay Later (BNPL) solutions designed for B2B companies. The team aims to make business transactions simpler and more efficient, using proprietary machine learning risk models, digitized operations, and a scalable technology platform. Billie positions itself as a deep-tech company focused on seamless financial products for business clients. Role Overview The (Senior) Data Scientist for Fraud Prevention joins the Decision Science group in Berlin. This role centers on designing and deploying machine learning models to reduce fraud risk, directly supporting Billie's profitability. The work spans the full modeling lifecycle, from hypothesis testing to rolling out production models that analyze debtor behavior and spot new fraud patterns. What You Will Do Develop and execute anti-fraud strategies, setting priorities to deliver high-quality, production-ready models. Apply expertise in quantitative analysis, data mining, and advanced machine learning to model debtor behavior, assess risk, and refine Billie's real-time decision engine. Work closely with data engineers, software engineers, analysts, and product managers to improve decision logic and bring in new data sources. Lead the deployment and operationalization of machine learning services, collaborating with Engineering to define infrastructure needs such as containerization and event-driven systems. Mentor junior team members, supporting a culture of technical rigor, experimentation, and strong coding standards. Translate technical findings into clear, actionable insights for stakeholders, using data storytelling to influence business decisions.

Why Join Nebius?Nebius is at the forefront of a new era in cloud computing, specifically tailored to support the burgeoning global AI economy. We equip our clients with innovative tools and resources, enabling them to tackle real-world challenges and revolutionize industries without the burden of exorbitant infrastructure expenses or the need to develop extensive in-house AI/ML teams. Our workforce operates at the cutting edge of AI cloud infrastructure, collaborating with some of the most experienced and visionary leaders and engineers in the industry.Our Work EnvironmentBased in Amsterdam and publicly listed on Nasdaq, Nebius boasts a global presence with research and development centers across Europe, North America, and Israel. Our team of over 1400 includes more than 400 highly qualified engineers with expertise in both hardware and software engineering, complemented by a dedicated in-house AI R&D team.The RoleWe are excited to announce a 3–6 month Early Career program within our AI R&D team. As an AI Researcher, you will collaborate with seasoned researchers to address challenges in large language models (LLMs), reinforcement learning, and agentic systems. We seek early-career talents to assist in research on:Reinforcement learning for agents and reasoning modelsDeveloping reinforcement learning environmentsEfficient model distillation and evaluationYour Responsibilities Will Include:Designing and executing experiments to train LLMs and related modelsAnalyzing experimental results and documenting findingsWriting and maintaining code for data mining, processing, and model evaluationCollaborating with team members to explore innovative solutions

Join 360Learning as a Presales Engineer, where you will be pivotal in connecting Sales, Product, and Customer Success teams. You will collaborate with leading learning and development organizations, aligning their growth strategies with the innovative capabilities of 360Learning. As our inaugural Presales Engineer for the German market, your contribution is essential to our regional success, backed by the expertise of our entire EMEA team. This role is vital for the expansion of 360Learning's business in Germany. You will establish a new function within the company, becoming a resident expert on our technology. Your deep understanding of how 360Learning benefits our current clients will enable you to deliver exceptional value to prospective clients. In this position, you will serve as a bridge between our product development strategy and the specific requirements of our market.

Join Delivery Hero as a Director of Data Science specializing in Deep Learning and Artificial Intelligence. In this leadership role, you will spearhead innovative projects aimed at transforming data into actionable insights and contributing to the strategic direction of our data science initiatives.

Join PPRO, where our mission is to facilitate seamless access to local payment methods, empowering global commerce. We envision a world where anyone can purchase goods and services using their preferred payment method. Our partnerships with industry leaders like Ant Group, PayPal, and Stripe enable us to tap into new markets and connect with a broader customer base, accelerating growth for all.Our strength is rooted in our diverse and multicultural team, comprising over 50 nationalities across more than 10 international locations. United by a common goal, we strive to deliver exceptional products and services to our partners and customers. While we focus on innovating global commerce, we embody principles of #chooseaction, #beopen, #thinkcustomer, #gofurther, and #wintogether.Purpose of the Role:As an Infrastructure Engineer II, you will join the Developer Enablement domain, tasked with ensuring that all cross-functional development teams have access to a robust, scalable, reliable, cost-effective, and highly secure infrastructure for their applications. Your expertise will be pivotal in implementing and maintaining our infrastructure framework, paving the way for development teams to thrive. At PPRO, we operate as a cloud-native FinTech, utilizing AWS for our payment services and GCP for analytics.

About the Opportunity Join our dynamic Product team as a Senior Product Manager specializing in our Payments Platform. We are looking for an experienced professional who is passionate about shaping the future of global financial infrastructure. In this pivotal role, you will oversee scheme integrations and the core components of our payment platform, driving the strategy that facilitates seamless money transfers for N26 customers across Europe. This strategic position requires a robust technical background in international payment systems and a dedication to building a secure, scalable, and compliant processing engine. Your responsibility will encompass the entire product lifecycle for essential payment systems (such as SEPA, SWIFT, and APMs), focusing on enhancing stability, optimizing performance, and integrating new payment schemes that are vital for N26's product roadmap and international growth. Your Responsibilities: Lead the product lifecycle for scheme integrations and payment platform components (e.g., SEPA, SWIFT, APMs). Define and execute the product roadmap, from conception and strategy to design, implementation, and ongoing enhancement. Implement new payment rails and features leveraging business data, customer insights, and corporate strategy. Collaborate with Engineering and Design teams to craft intuitive and compliant payment processes. Prioritize and scope high-impact features, ensuring alignment with both immediate objectives and long-term vision. Act as the primary liaison across departments such as Compliance, Treasury, Operations, and Finance to maintain regulatory compliance and support business success across payment schemes. Analyze and optimize the product funnel with data teams to inform decisions that enhance performance, scalability, and user experience.

Wir suchen einen engagierten Account Executive (m/w/d) für unsere Microsoft Cloud Produkte. In dieser spannenden Rolle sind Sie verantwortlich für die Akquise neuer Kunden und die Pflege bestehender Kundenbeziehungen. Sie werden Teil eines dynamischen Teams, das innovative Cloud-Lösungen anbietet und unseren Kunden hilft, ihre digitalen Transformationen erfolgreich zu gestalten.