Team/division description:

Lexus, One Omnichannel Experience (Lexus, OCX) is the Function that is the promoting the LEXUS brand 360 degree and delivers one seamless omnichannel experience across physical and digital touchpoints. The Function brings under one roof Divisions such as Lexus Brand, Digital Experience & E-Commerce, Data Platforms & Customer Engagement Management (CEM), Customer Relations, Strategy & Performance, and One Academy. Its mission is to define and connect every customer touchpoint across the ONE TOYOTA Ecosystem in an omnichannel way to drive conversion, loyalty and monetisation. AI based automation and self-services are unlocking cost efficiencies, while a system of actionable insights is leading to continuous performance improvements. A unified, centrally governed and legally compliant data foundation is the key enabler for building long term trusted relationships with our customers.

Due to its multiple impact across the business, the function should collaborate seamlessly with other TME functions and NMSCs as the primary implementer.

Your task:

• Agenda, Mailbox, Expense & Travel Management: Manage the Function Head’s agenda, mailbox, travel booking, and expenses.
• Team Travel & Expenses: Support team Heads with travel and expenses upon request.
• Travel Coordination: Share travel-related information across the function.
• All Team meeting organization: Organize Quarterly All Team meeting – book venue, collect and consolidate presentations from each team, present team related content.
• Weekly Direct reports meeting / Bi-Weekly Lexus Team Meeting: set-up meeting (including meeting room), consolidate PowerPoint presentation for the meetings, create midterm agenda visibility.
• Off-site Meetings: Coordinate logistics, including hotels, catering, venues, and registration.
• Events: Organise Christmas parties and team-building activities.
• Mailing Lists & Org Charts: Keep mailing groups and organisation charts up to date.
• Office Management: Coordinate daily office operations, meeting rooms, and group calendars.
• (Oracle Finance system) PR/PO & Supplier Creation: Create PR/Pos when needed (such as special office supply ordering, Teambuilding down payment)
• Facilities: Coordinate facility matters, locker lists, and Kara-Kara clean-up activities.
• Ad-hoc Support: Support team members with ad-hoc requests.
• One Team Sprit: Support the leadership team in building a One Team Sprit considering the diversity of the divisions.

Your profile:

• Reliable, Accurate & Proactive: Attention to detail, highly precise, strong organisational skills.
• Persistent, Stress-resistant & Hard-working: Focused and resilient in a demanding environment.
• Team Player and Independent Worker: Collaborates well and manages tasks independently.
• Multicultural Communication: Communicates effectively in diverse environments.
• Results-driven: Turns objectives into clear, tangible actions.
• Communication and Presentation Skills: Communicates clearly and professionally.
• Planning and Organisation: Manages priorities and multiple tasks efficiently.
• Discreet: Handles confidential information professionally and with high integrity.
• Microsoft Office Skills: Good knowledge of Outlook, Word, Excel, PowerPoint, SharePoint, Teams.
• Fluent in English: Other languages are an asset.

Your role

As a Night Customer Service Agent, you will be the main point of contact for customers, workshops and other parties involved in breakdown assistance. You will ensure that requests are handled efficiently and that every case is followed up accurately.

Your main responsibilities will include:

• Handling incoming phone calls and customer inquiries.

• Managing emails and providing clear and professional responses.

• Gathering information and checking data for accuracy and completeness.

• Providing first-line technical support and communicating with workshops.

• Keeping customers and all relevant parties informed about the progress of their case.

• Following up and monitoring agreements with all parties involved.

• Managing contract-related issues within the agreed deadlines.

• Managing several cases and requests simultaneously while maintaining a high level of service.

• Taking the appropriate action in urgent or unexpected situations.

Working hours

This is a night position with a specific and attractive work schedule.

You will work:

• 3 nights per week

• From 20:00 until 08:00

• The rest of the week is free

This schedule offers a great work-life balance, with several days off during the week.

Night shifts are compensated with additional night premiums.

Flexibility regarding the three scheduled night shifts is essential for this position.

Your profile

We are looking for someone who is customer-focused, communicative and able to multitask, while remaining calm and professional during the night.

Knowledge & experience

• Very good English – essential and the main working language.

• Good knowledge of French.

• Good knowledge of Dutch.

• Good knowledge of Microsoft Office (Word, Excel, Outlook, etc.).

• Previous experience in customer service, administration or case management is a strong asset.

• Technical knowledge of the automotive sector, tyres or mechanics is a plus, but not required.

• No specific experience is required, as training will be provided.

Skills & personality

• Excellent telephone communication skills.

• Strong problem-solving and analytical skills.

• Naturally customer-oriented and service-minded.

• Able to multitask and manage several cases at the same time.

• Accurate, organised and committed to delivering high-quality work.

• Stress-resistant and able to remain calm in challenging situations.

• Comfortable working independently during night shifts.

• Flexible and quick to adapt to new situations and procedures.

• Reliable, responsible and eager to learn.

Introduction

At Ekwip, our goal is simple: help local retail thrive internationally.

A sports shop in Namur, a bookshop in Ghent or a pet store in Rotterdam may have 20–40% of its inventory sitting unsold, tying up cash and losing value. Ekwip takes care of this stock from end to end and sells it online across Europe through major marketplaces.

Retailers keep their store, identity and existing operations without having to become e-commerce experts.

The model is proven: steady monthly growth, no customer churn since launch and partnerships underway with major distributors. After a strong start in French-speaking Belgium, Ekwip is now expanding into Flanders and the Netherlands.

The pitch takes 90 seconds and the sales cycle is measured in days, not quarters. With more than 150,000 independent retailers across Europe, the opportunity is to sign hundreds of customers every year.

About the Role

You will lead business development from A to Z, working directly with Ekwip’s three co-founders.

Independent and specialised retailers

• Identify and target retailers in sports, fashion, footwear, pet care, home, toys and books
• Build your own pipeline through cold calling, store visits, networking and trade fairs
• Manage qualification, negotiation and closing
• Organise your prospecting by region with a strong focus on efficiency and results

Distributors and industrial wholesalers

• Identify the most relevant partners
• Define the right approach and activate new opportunities
• Lead negotiations and close strategic agreements
• Develop partnerships where one agreement can unlock an entire network of stores

Market insights and performance

• Act as Ekwip’s eyes and ears in the market
• Share customer needs, recurring objections and local market practices
• Feed insights directly into the product roadmap
• Continuously manage your pipeline and performance

Growth opportunities

Ekwip’s medium-term ambition is to build a commercial team in each country, with Business Developers and Account Managers.

You will be the first building block of this structure. Strong performance can lead to a management role, where you will recruit, train and lead your own local sales team.

Your Profile

• Bachelor’s degree in Business, Marketing, Sales or a related field
• Fluent Dutch is essential, as this is the main market to develop; French and English are needed
• A successful first experience in B2B sales, with proven results
• Valid driving licence

What we are looking for

• A true hunter mindset: you are comfortable with cold outreach and know how to build a pipeline from scratch
• Strong autonomy: you manage your territory like your own business
• Genuine curiosity for retail: you listen as much as you sell
• A structured and methodical approach to pipeline management
• The motivation to build in a fast-paced, demanding and pragmatic environment
• Experience in retail, SaaS or marketplaces is a strong advantage

ViaMotive is not a traditional company. As a multi-brand dealer for brands such as Higer, Temsa and EVM, we provide smart solutions for professional passenger transport.

With the growing number of electric buses, our workshop is changing too. That's why we're looking for a skilled Diagnostic Bus Technician to join our team.

At ViaMotive, you will diagnose technical problems on modern buses and work together with your colleagues to get our vehicles safely back on the road. Every day is different and offers new technical challenges.

Your job

As a Diagnostic Technician, you will find, analyse and solve technical problems on buses.

Your tasks include:

• Diagnosing technical faults using diagnostic equipment.
• Reading fault codes and electrical diagrams.
• Solving mechanical, electrical and electronic problems.
• Carrying out maintenance and repairs.
• Testing vehicles after repairs.
• Helping colleagues with more complex technical issues.
• Learning about new technologies, including electric buses.

Who are you?

• You have a degree in Automotive Technology, Electromechanics, or similar experience.
• You have experience as a diagnostic technician, bus technician or truck technician.
• You have a good knowledge of mechanics, electricity and electronics.
• You have experience using diagnostic tools.
• You have a category B driving licence (category D is a plus).
• You can communicate in English or Dutch.
• You work accurately, care about quality and enjoy working in a team.

Experience with electric vehicles or an HEV2 certificate is an advantage, but not required. A strong technical mindset and willingness to learn are just as important.

Practical

• Day shift from Monday to Friday.
• Roadside assistance is mainly during working hours. If you are willing to help outside working hours when needed, this is a plus.

We're on the lookout for a Mid-Level AI Systems Engineer who bridges AI engineering and MLOps. Someone who loves getting hands-on with LLMs, agents, and RAG pipelines, and who cares just as much about what happens once a model reaches production as about building it in the first place. In this role, you'll design, build, deploy, and operate production-grade AI systems, with a strong focus on generative AI, LLM-based applications, and reliable machine learning operations. In practice your time is split roughly between 60-70% AI Engineering and 30-40% MLOps.

In this role you sit at the intersection of engineering and operations, working across teams and disciplines. You'll report to the Head of ML at Sagacify and collaborate with the wider Sagacify and Craftzing delivery organisation. A role that can naturally grow towards a Team Lead position over time.

What you'll do :

AI Engineering (60-70%)

• Orchestrate AI system components: LLMs, vector databases, APIs, orchestration layers, and user interfaces
• Develop autonomous agents and conversational systems that can plan actions and interact with external tools or APIs
• Build and optimise RAG pipelines connecting enterprise data sources to LLMs for grounded, contextualised, reliable answers
• Evaluate system quality through generative AI metrics, coherence tests, and production monitoring (latency, API costs, bias)
• Deploy and scale solutions with strong attention to latency, security, reliability and cost efficiency
• Keep an eye on the ecosystem for new models, frameworks and techniques, including open-source tools such as LangChain, LangGraph, Langfuse, etc.
• Perform prompt and context engineering to improve output quality, reduce hallucinations, and manage conversational state effectively

MLOps (30-40%)

• Build and maintain automation for model deployment, including CI/CD pipelines and automated testing
• Continuously monitor model performance in production, including drift detection and quality metric tracking
• Manage updates of libraries, models, and related dependencies in production environments
• Ensure versioning, reproducibility and safe rollout of models and AI services
• Collaborate closely with ML engineers, developers, DevOps and infrastructure teams for smooth delivery
• Stay current with the latest MLOps practices, tools and platform components

You stay in the code, you stay curious about what happens after deployment, and you keep learning as you go.

• You have 3 to 5 years of experience in AI/ML engineering or related fields
• You have a solid understanding of LLM fundamentals: Transformers, attention mechanisms, generation parameters and fine-tuning approaches
• You have strong problem-solving ability and algorithmic creativity
• You communicate clearly with both technical and non-technical stakeholders
• You have a team spirit and enjoy collaborating across multiple roles
• You bring rigour, responsiveness and a good incident-handling mindset
• You're autonomous, curious, and quick to learn new tools
• You can communicate fluently in Dutch, English and French, or at least the first two languages

Don’t worry if you don’t tick every single box, what matters most is the right mindset and a drive to learn. If you think we’re a match, we’d love to hear from you.

Permanent | From €6,000 gross/month | Leuven

Thirty countries. Sixty legal entities. A BPO partner in India. Monthly closes under pressure and an ERP migration running straight through live operations. You've been there, and you know exactly how to bring structure, calm and quality to an environment that never stops moving.

We're looking for an AP Manager to lead the European AP hub of an international market leader in medical products, based in Leuven. This is a Global Business Services environment with teams spanning Belgium, the UK and India, an active finance transformation programme and products that make a genuine difference in healthcare every single day.

The Role

As AP Manager, you hold full ownership of the Accounts Payable function and serve as the key link between finance and international business stakeholders. From the European hub in Leuven, you oversee AP operations across Belgium, the United Kingdom and India, working closely with teams distributed around the world.

Day-to-Day Responsibilities

• Full AP cycle for European countries: receipt, review, processing and approval of invoices in line with group policy
• Three-way matching, discrepancy follow-up and escalation where required
• Preparation and execution of payment runs across multiple methods (EFT, Wire, ACH, DD, SEPA B2B/B2C)
• Vendor reconciliations, AP subledger alignment with the GL and management of intercompany balances
• Monthly and year-end close activities: accruals, prepayments, open POs and AP adjustments
• Compliance oversight: VAT, Intrastat, SOX requirements, internal controls and segregation of duties
• Building and monitoring KPIs and AP reporting: ageing, vendor spend, payment forecasts and accrual summaries
• Supporting audit processes: providing documentation, explaining reconciliations and implementing recommendations

People Management & Leadership

• Managing, coaching and developing international AP teams and BPO partners
• Monitoring SLA quality and operational consistency across outsourced processes
• Providing technical guidance on the ERP system to BPO teams, acting as the go-to for complex processing and system queries
• Visible, engaged leadership: present for your people across time zones and national borders

Your Profile

You're a senior finance professional who knows complex AP environments inside out. You keep your team in sight and know how to introduce structure and composure into an organisation that's constantly evolving.

• Bachelor's or Master's degree in a financial discipline
• A minimum of 10 years' relevant experience in AP and GL, ideally across multiple countries and legal entities
• Proven leadership experience, both direct and through BPO coordination and process ownership
• Hands-on knowledge of major ERP systems such as Oracle Cloud Financials or SAP S/4HANA
• Familiar with US GAAP and/or IFRS and financial close across multiple entities
• Strong knowledge of VAT in an international context, SOX and internal controls
• Demonstrable experience with finance transformation or ERP implementation projects is a significant advantage
• Analytical, solutions-focused and comfortable in a high-complexity, fast-changing environment
• Fluent in English (essential); French or Dutch is an advantage
• Willing to travel internationally: regular trips to the UK, occasional travel to Asia

Company Description As the world’s pioneering local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door. We operate in around 65 countries worldwide, powered by tech, designed by people. As one of Europe’s largest tech platforms, headquartered in Berlin, Germany, Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index. We push hard, learn quickly and stay human along the way. It’s this wonderful mix of high performance and real community that makes Delivery Hero a place where ambition and belonging grow side by side. If you’re curious, collaborative and ready to dive deep into meaningful work, you’ll fit right in. Job Description We are on the lookout for a Staff Product Designer - (Logistics, Order Tracking) to join the Order Tracking team on our journey to always deliver amazing experiences. Imagine shaping how millions of users track their orders across 70+ countries, ensuring a seamless and delightful delivery experience. This role is key to ensuring our customers enjoy a delightful order tracking experience across multiple brands, including Talabat, foodpanda, PedidosYa, Glovo, HungerStation, and the rest of the Delivery Hero group of consumer apps. You will own and shape the order tracking product, ensuring millions of customers worldwide have a seamless delivery experience. In our Logistics Team, you’ll tackle high-impact challenges that make last-mile delivery efficient, affordable, and sustainable. Your work will directly improve experiences for riders, end customers, and merchants across the globe. Each enhancement you contribute will help Delivery Hero optimize delivery operations, supporting expansion into new areas like grocery and retail. Our mission in the Customer Product Line design chapter in Logistics is to balance internal users and customers needs, business goals and feasibility in order to build the best-in-class solutions that drive positive business outcomes. We have 3 principles as a design chapter here: Don't make me think! - We design the best-in-class and high-impact solutions with usability at its core, considering consistency across the products. We aim to bring trust and efficiency to our internal users in their daily tasks without compromising on the look and feel. We help the biz to grow sustainably - We know about the business/product line strategy and OKRs like the back of our hand. That's why, whenever we propose or start a new design initiative, we consider the positive impact that it may cause on the business. Our customers and users matter - We are responsible for bringing our users/customers and stakeholders' voices/needs to the table. We do it by research. We care about their satisfaction and consider it in our process. - Shape the future of order tracking – This is your opportunity to lead the design efforts in revamping the order tracking experience across Delivery Hero’s brands. - Drive impactful designs – You will own the end-to-end design process, from ideation to launch, ensuring intuitive, visually compelling, and efficient user experiences. Your designs will enhance usability while aligning with business goals and technical feasibility. - Leverage data and insights – You will use data-driven decision-making, incorporating research insights, user feedback, and A/B testing results to refine and optimize the order tracking journey. - Define and execute strategy – You will contribute to and refine the product roadmap, prioritizing features that drive engagement and improve the overall user experience. Your expertise in design systems will ensure consistency and scalability across platforms. - Collaborate and Innovate – researchers, product managers, and engineers, you will co-create seamless experiences that meet both user and business needs. You will facilitate workshops and design sprints to align teams and drive innovation. - Advocate for design excellence – You will champion best practices in visual design, accessibility, and interaction design, ensuring that every touchpoint is thoughtfully crafted. Your ability to communicate design decisions effectively will help align stakeholders across the organization. - Be a Leader and mentor – You will help foster a culture of continuous improvement, collaboration, and user-centricity within the team, inspiring others with your design expertise and strategic thinking. Qualifications The ideal candidate excels in user-centric design for complex platforms, with strong visual skills and expertise in Figma and design systems. They are strategic thinkers, skilled in workshop facilitation, design metrics, and stakeholder management. A collaborative team player, they communicate effectively and drive alignment. Experience in B2C and animation is a plus. - Experience and expertise: 5+ years as a product designer, skilled in designing complex platforms (app experience essential) and contributing to design systems. - Design and strategy: Strong visual design skills, user-centric mindset, and strategic thinking, including workshop facilitation and design metrics analysis. - Tools and communication: Proficient in Figma and prototyping tools, with excellent communication and stakeholder management skills. - Collaboration and bonus Skills: Team player who motivates others; experience in B2C products or animation concepts is a plus. Additional Information Ensuring you and all our Heroes are looked after, happy, and healthy is always on the menu. Because if you’re in good shape, then we’re in good shape. - Make the most of our hybrid working model (https://careers.deliveryhero.com/delivery-hero/2025-9/hybrid-work-at-delivery-hero) and join the team for face-to-face connection and collaboration in our beautiful Berlin campus 2 days a week - We offer 27 days holiday with an extra day on 2nd and 3rd year of service - We will support you in developing yourself and your career growth opportunities: 1.000 € Educational Budget, Language Courses, Parental Support and access to the Udemy Business platform to explore a variety of online courses. - Get moving and release those wonderful, mind-boosting endorphins: Health Checkups, Meditation & Gym. - Cash. Dough. Cheddar. Whatever you call it, we’ll help you with it: Employee Share Purchase Plan, Sabbatical Bank, Public Transportation Ticket Discount, Life & Accident Insurance, Corporate Pension Plan - The power of getting together over some food is unrivaled. Here are a few ways to help you do that. All the yum: Digital Meal Vouchers and Food Vouchers. - Wondering what relocating to Berlin is like? In this article, we’ve put together10 things you should know about moving to Berlin (https://careers.deliveryhero.com/delivery-hero/2025-10/blogmoving-to-berlin-guide?utm_source=jobdescription&utm_medium=bullet+text&utm_campaign=JD+Enhancements) and how Delivery Hero can support you. You can also visit our relocation hub (https://careers.deliveryhero.com/relocation-hub?utm_source=jobdescription&utm_medium=bullettext&utm_campaign=JD+Enhancements) and check out more information about moving to Berlin. - Ready to prepare for your interview? Check out the list of the 5 most common interview questions and answers (https://careers.deliveryhero.com/delivery-hero/2025-10/the-5-most-common-interview-questions-and-how-to-answer-them?utm_source=jobdescription&utm_medium=bullettext&utm_campaign=JD+Enhancements) created in collaboration with our recruiters. Ready to join our team? (https://careers.deliveryhero.com/howwehire) If you’re excited to grow, collaborate and be part of the world’s leading delivery platform, we’d love to hear from you. Apply today! We believe diversity and inclusion are key to creating not only an exciting product, but also an amazing customer and employee experience. Fostering this starts with hiring - therefore we do not discriminate on the basis of racial identities, religious beliefs, color, national origin, gender identities or expressions, sexual orientations, age, marital or disability statuses, or any other aspect that makes you, you. We encourage you to let us know if you need any accommodations or specific accessibility support to ensure a smooth interview experience—just let us know with an email to our Inclusion Officer at inclusion@deliveryhero.com. Severely disabled applicants with equal qualifications will be given preferential consideration. You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.

Company Description As the world’s pioneering local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door. We operate in around 65 countries worldwide powered by tech, designed by people. As one of Europe’s largest tech platforms, headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index. We enable creative minds to deliver solutions that create impact within our ecosystem. We move fast, take action and adapt. No matter where you're from or what you believe in, we build, we deliver, we lead. We are Delivery Hero. Job Description We are on the lookout for a Senior Data Scientist - (Global Search, Consumer) to join the Search Ranking team within our Global Search tribe. If you thrive at the intersection of cutting-edge deep learning research and high-traffic production systems — and are excited about autonomous AI-driven experimentation — this role is for you. Our search functionality spans more than 60 countries and 35 languages, facilitating over 80 million searches daily across four continents. The ranking systems you build will directly shape what millions of customers see every time they open the app. Your mission: - Own the Ranking Stack End-to-End: Design, build, and productionalize deep neural ranking models — including DCN-V2, MMoE, and Two-Tower architectures — operating at high throughput and low latency in production. You will own the full lifecycle: from offline experimentation and evaluation to monitoring, and iterative improvement. - Drive Agentic ML Research: Embrace and champion the shift from manual experimentation to prompt-driven orchestration. You will leverage LLM coding agents (e.g., Claude Code, Gemini) to autonomously iterate on feature engineering and Learning to Rank (LTR) architectures. Inspired by the auto-research paradigm, you will design overnight experiment pipelines and review the outputs of hundreds of autonomous runs to identify signals quickly. - Lead Feature Engineering and Model Architecture Innovation: Apply your deep expertise in ranking signals, feature stores, and embedding-based retrieval to push the quality of our rankers. Propose and validate new model architectures grounded in the latest research, translating academic advances into production-grade systems. - Ensure Production Reliability: Maintain rigorous standards for model health in production. You will own monitoring for model drift, latency degradation, and feature pipeline integrity, and act quickly when signals deviate — keeping our ranking quality high for users across all markets. - Collaborate Across Disciplines: Work as a technical partner with Backend Engineers, Data Engineers, and Product Managers to deliver end-to-end improvements. Translate complex ML trade-offs into clear narratives for non-technical stakeholders, and contribute to shaping the team's roadmap. - Raise the Bar: Mentor junior and mid data scientists, drive best practices in experimentation rigor and code quality, and actively contribute to a culture of learning — especially around emerging agentic development workflows. Qualifications - Master's degree (or Bachelor's with 6+ years of work experience) in Computer Science, Mathematics, Physics, or a related quantitative field. 4+ years of industry experience as a Data Scientist or Machine Learning Engineer applying ML in high-traffic production environments. - Deep Learning Ranking & LTR: Hands-on, production-proven experience implementing modern deep learning ranking architectures — DCN-V2, MMoE, Two-Tower — with strong command of multi-task learning, cross-feature interactions, and embedding optimization at scale. Solid foundation in LTR methods (pointwise, pairwise, listwise), offline evaluation metrics (NDCG, MRR), and the challenges of bridging offline metrics to online A/B outcomes. - Agentic & AI-Assisted Development: Proficiency with LLM coding agents and agentic CLI tools (e.g., Claude Code, Gemini) as first-class tools in your development workflow — not just for boilerplate, but for autonomous experiment generation, architecture prototyping, and rapid iteration. Familiarity with the auto-research paradigm and comfort reviewing large volumes of autonomously generated experiment results. - Technical Depth & MLOps: Expert in Python and its ML ecosystem (PyTorch, TensorFlow, scikit-learn). Comfortable with SQL (dbt), cloud environments (GCP or AWS), and big-data processing at scale (PySpark, Scala). Strong command of the full ML lifecycle — feature stores, vector databases, model versioning, A/B experimentation frameworks, and deployment to high-throughput, low-latency serving infrastructure. Hands-on experience with MLOps practices: CI/CD for ML pipelines, Metaflow, experiment tracking, model registry, and production monitoring covering drift detection, latency tracking, and data quality alerting. - Problem-Solving & Ownership: Comfortable navigating ambiguity and translating broad business objectives into well-scoped data science projects. You hold yourself accountable for outcomes, not just outputs. - Collaborative Spirit: Demonstrated ability to work effectively in cross-functional, globally distributed teams. Strong communication skills to articulate model behavior, experiment results, and trade-offs to both technical and non-technical audiences Additional Information Ensuring you and all our Heroes are looked after, happy, and healthy is always on the menu. Because if you’re in good shape, then we’re in good shape. - Make the most of our hybrid working model (https://careers.deliveryhero.com/delivery-hero/2025-9/hybrid-work-at-delivery-hero) and join the team for face-to-face connection and collaboration in our beautiful Berlin campus 2 days a week - We offer 27 days holiday with an extra day on 2nd and 3rd year of service - We will support you in developing yourself and your career growth opportunities: 1.000 € Educational Budget, Language Courses, Parental Support and access to the Udemy Business platform to explore a variety of online courses. - Get moving and release those wonderful, mind-boosting endorphins: Health Checkups, Meditation & Gym. - Cash. Dough. Cheddar. Whatever you call it, we’ll help you with it: Employee Share Purchase Plan, Sabbatical Bank, Public Transportation Ticket Discount, Life & Accident Insurance, Corporate Pension Plan - The power of getting together over some food is unrivaled. Here are a few ways to help you do that. All the yum: Digital Meal Vouchers and Food Vouchers. - Wondering what relocating to Berlin is like? In this article, we’ve put together10 things you should know about moving to Berlin (https://careers.deliveryhero.com/delivery-hero/2025-10/blogmoving-to-berlin-guide?utm_source=jobdescription&utm_medium=bullet+text&utm_campaign=JD+Enhancements) and how Delivery Hero can support you. You can also visit our relocation hub (https://careers.deliveryhero.com/relocation-hub?utm_source=jobdescription&utm_medium=bullettext&utm_campaign=JD+Enhancements) and check out more information about moving to Berlin. - Ready to prepare for your interview? Check out the list of the 5 most common interview questions and answers (https://careers.deliveryhero.com/delivery-hero/2025-10/the-5-most-common-interview-questions-and-how-to-answer-them?utm_source=jobdescription&utm_medium=bullettext&utm_campaign=JD+Enhancements) created in collaboration with our recruiters. Ready to join our team? (https://careers.deliveryhero.com/howwehire) If you’re excited to grow, collaborate and be part of the world’s leading delivery platform, we’d love to hear from you. Apply today! We believe diversity and inclusion are key to creating not only an exciting product, but also an amazing customer and employee experience. Fostering this starts with hiring - therefore we do not discriminate on the basis of racial identities, religious beliefs, color, national origin, gender identities or expressions, sexual orientations, age, marital or disability statuses, or any other aspect that makes you, you. We encourage you to let us know if you need any accommodations or specific accessibility support to ensure a smooth interview experience—just let us know with an email to our Inclusion Officer at inclusion@deliveryhero.com. Severely disabled applicants with equal qualifications will be given preferential consideration. You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.

Apply Now Data Science Expert (Domain Models) - Data Labs (m/f/d) Date: 08/28/2026 Company: SAP We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. The context engine that makes AI enterprise ready. Anyone can build an AI agent. What makes SAP's agents different is accuracy grounded in the richest enterprise data and process context in the world. As a Data and Applied Scientist at SAP, you'll build the context engine grounded in SAP’s Business ontology: the semantic infrastructure that transforms raw business data into the knowledge layer powering SAP's AI agents and assistants. The semantic and contextual foundation of SAP's AI. While generic AI agents operate on surface-level patterns, SAP agents are accurate because they understand the real semantics of enterprise business master data, process flows, and domain relationships. You'll build and scale the layer that makes that possible. - Design and maintain enterprise ontologies and semantic models that give AI agents accurate, grounded understanding of SAP and connected business landscapes harmonizing data from SAP, Salesforce, Workday, ServiceNow, MES/IoT systems, and external providers into unified semantic layers. - Build AI capabilities including RAG pipelines, embeddings, vector databases, and enterprise knowledge grounding that make SAP's agents accurate and reliable in production. - Develop AI capabilities including generative AI and LLM-based solutions using enterprise business data, knowledge graphs, business process intelligence, and other structured and unstructured data assets. - Leverage SAP's deep data and process context including SAP data models, metadata structures, and business process semantics across Order-to-Cash, Procure-to-Pay, Record-to-Report, and Plan-to-Produce to ground AI solutions in real enterprise reality. - Work with cloud and data platforms including Databricks, SAP Datasphere, SAP HANA Cloud, AWS, Azure, and GCP to support reliable, scalable AI workflows. - Partner across product, engineering, business, and customer-facing teams to translate ambiguous business challenges into concrete AI solutions from concept through deployment and continuous improvement. - Apply machine learning, deep learning, and statistical modeling to develop and evaluate AI solutions using real-world enterprise datasets. Required Qualifications - 8+ years of experience in knowledge engineering, semantic data systems, applied AI, or data science in industry, research labs, or advanced academic environments. - Master's or PhD in Computer Science, Applied Mathematics, Statistics, Engineering, or a related quantitative field - Hands-on experience designing enterprise ontologies and semantic models; proficiency in at least one graph query language (SPARQL, Cypher, or GQL); understanding of trade-offs between RDF triple stores and property graph databases. - Hands-on experience with modern GenAI systems RAG, embeddings, vector databases, semantic retrieval, and enterprise knowledge grounding. - Strong Python and SQL skills with production-grade development practices; experience with ML libraries such as PyTorch, TensorFlow, or scikit-learn. - Proven track record deploying and operating AI/ML solutions in production including handoff, lifecycle support, and continuous improvement. - Experience with big data infrastructure and cloud environments Databricks or equivalent, plus at least one major cloud (AWS, Azure, or GCP). - Excellent communication and stakeholder management skills, with the ability to work cross-functionally in agile environments. Preferred Qualifications - Deep working knowledge of SAP data models, metadata structures, and core business processes end-to-end. (SAP knowledge is a strong accelerator) - Hands-on experience with the SAP data and AI platform stack SAP Datasphere, SAP HANA Cloud Knowledge Graph Engine, SAP Business Data Cloud, SAP One Domain Model, SAP Graph API, and SAP Business Accelerator Hub. - Deep expertise across the W3C stack (OWL, RDF/RDFS, SKOS, SHACL) and/or property graph query languages (Cypher, GQL). - Deep expertise in machine learning and deep learning, with experience developing, evaluating, and improving models on real-world datasets. - Experience with agentic AI, reasoning frameworks, planning, orchestration, tool use, or multi-agent architectures. - Experience contributing to reusable AI platforms, foundation model initiatives, or shared AI services adopted across multiple product areas. - Ability to design upper-level and mid-level ontologies aligned with industry standards and apply semantic interoperability frameworks across complex application landscapes. Where you belong The Application AI team sits at the foundation layer - We build the LLM systems and intelligent infrastructure that run across SAP's global platforms, which means the work you do here doesn't just influence one product, it sets the direction for how AI operates at enterprise scale. A core part of that challenge is making AI genuinely understand the business not just process text, but reason over richly structured enterprise data through robust data ontologies and semantic knowledge frameworks that give models real context about how SAP's world is organized. This is a team that values engineers who think like owners: people who want to define the architecture, not just implement a spec. You'll work in an environment designed around trust and autonomy, where the expectation is that you move fast, make calls, and drive outcomes without layers of approval slowing you down. AI skills used in this role:  Agentic AI Day-to-Day Practice, AI Adoption Capability, AI Output Quality Assurance, Context Engineering, AI-Assisted Automation and Prototyping, Learning Agility, Creative Thinking, Complex Problem Solving, Effective Communication, Collaboration, Agentic Orchestration, Data Engineering, Deep Learning, Model Training, Semantic Retrieval #DLhiring ​ Bring out your best SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best. We win with inclusion SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world. SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com. For SAP employees: Only permanent roles are eligible for theSAP Employee Referral Program , according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. AI Usage in the Recruitment Process For information on the responsible use of AI in our recruitment process, please refer to ourGuidelines for Ethical Usage of AI in the Recruiting Process . Please note that any violation of these guidelines may result in disqualification from the hiring process. Requisition ID: 459635  | Work Area: Software-Design and Development  | Expected T(...) Die Stellenbeschreibung kann nicht vollständig angezeigt werden. Bitte folgen Sie dem u.a. Link 'Weitere Informationen zum Stellenangebot im Internet'

Jetzt bewerben Principal AgenticAI Engineer / Architect at AI CoE (f/m/d) Datum: 24.07.2026 Unternehmen: SAP We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. What you`ll build Summary: We are looking for a Principal AI Engineer / AI Architect who can drive enterprise-grade AgenticAI development and lead our engineering scrum teams as technical artifact owner overseeing multiple development streams as well as foundational agenticAI solution- and software architecture decisions. The candidate will have proven and industry-leading skills in Data Science and Data Engineering as well as Software Engineering and Solution Architecture, with an entrepreneurial spirit to join our diverse team and work on innovation projects as well as exceptional leadership and people skills. Role: In this role you drive, oversee and are responsible for the entire development lifecycle of multiple (agentic) AI services, from Data Science PoC to productization and production operations. You own and evolve best practices to impact the AI software quality of many teams which requires you to be able to quickly abstract and evolve concepts around AI software productization that play a pivot role across multiple development scrum teams. This also requires people leadership on a technical level and the ability to properly explain highly complex AI best practices to a team of practitioners and developers such that they can apply them. You are very experienced with general software engineering best practices and enterprise-grade code development applied to an AI space. Concretely this means that next to having profound AI modeling expertise, you are exceptional at working with vast amounts of data in a Big Data setup, professional Data Engineering Pipeline development as well as model deployment/serving and CI/CD setup. To fully understand our stakeholders' problems and challenges a solid business acumen is needed as well. As a development leader you can motivate and guide a scrum team through complex tasks with tight deadlines. Responsibilities / Core Tasks: - Lead develop AI services from PoC to Production - Lead the development of a best practice framework for AI development (both narrow and GenAI) for all dev streams and teams - Lead the definition, evolution and drive the setup of infrastructure architecture for the AI applications we are building - Setup and develop new Big Data pipelines, to productize data ETL workloads for different AI services - Develop AI/ML models to solve real life business problems (this includes Data Science exploration phase as well as model productization) - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions - Productionize AI PoCs with good software engineering by incorporating CI/CD pipelines, deployment and MLOps - Take ownership over AI services in development and production - Lead, guide and mentor junior colleagues and evolve their AI engineering skillset What you bring - Bachelor's or master's degree in machine learning, computer science, engineering, or related technical fields - Vast coding knowledge of at least one programming language such as Python or Java - Deep knowledge of Distributed Computing Systems for Big Data Engineering such as Databricks (PySpark/Scala) - Exceptional understanding of AI/ML concepts - Good understanding and hands on experience in agentic AI communication technologies such as MCP and A2A - Exceptional understanding of AIOps and LLMOps/AgentOps concepts (e.g. MLflow 3.0) - Deep Infrastructure knowledge around AI solution design on Hyperscalar clouds such as Azure/AWS/GCP - Extensive coding experience in applying ML frameworks such as TensorFlow, PyTorch, Langchain, OpenAI, Huggingface, Crew - Very deep experience in applying AgenticAI frameworks such as Langgraph, CrewAI, Microsoft agent framework or google-adk - Industry leading general software engineering best-practices (e.g. Object-Oriented Programming) and experience working in a scrum-like software engineering unit - Productization technologies and tools such as Docker, K8s, GitHub, VSCode, Linux etc. - CI/CD and ML Ops frameworks such as Jenkins, GitHub Actions, MLFlow, etc. - Cloud-deployment offerings such as Azure ML, Databricks, AKS, Event Hubs, Azure Data Factory, Azure Functions or similar in AWS / GCP - Exceptional understanding and proven track record of AI-native development with spec driven frameworks like openspec using coding agents like Claude, Cline, Copilot etc. - Some form of code ownership and scrum team leadership experience - Curiosity to learn about different AI applications and new technologies in general - Excellent spoken and written knowledge of English as well as collaborative mindset ; good German language skills - Experience with SAP AI offerings e.g. AI Core, AI Business Services, Joule etc. is a plus - Understanding of Agile / Scaled Agile (SAFe) methodologies is a plus - Python backend development, e.g. Flask, Django, FastAPI, Quart Where you belong Within SAP IT, our Enterprise AI CoE team has the purpose to help SAP to transform into a data-driven intelligent enterprise, by empowering SAP employees to simplify processes, leveraging AI technologies. Our vision is to be an advocate and enabler of best-in-class AI within SAP. Our mission is to deliver business value through AI in SAP’s processes and be recognized as AI Thought Leader in the market. We implement both standard SAP AI and custom built solutions across all LoBs. We are customer zero of SAP standard AI solutions and provide continuous feedback to standard development for product improvement. We provide an AI Platform and Infrastructure to entire SAP AI practitioners for building their own ML solutions in the entire ML lifecycle following MLOps methodology. Furthermore, we build and operate a central chatbot platform based on SAP Conversational AI with the aim to provide capabilities from all lines of business through a single digital assistant. We also build those capabilities (individual chatbots) as well as support other teams in building further ones. Within our team, we practice a trust-based working model with emphasis on great collaboration, agility and transparency. We offer a lot of room for creativity and freedom to experiment. Our operating model is based on autonomous/agile team concept (SAFe) and SAP New Work practice where we put people at the center of everything we do. Bring out your best SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best. We win with inclusion SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world. SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com. For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, accor(...) Die Stellenbeschreibung kann nicht vollständig angezeigt werden. Bitte folgen Sie dem u.a. Link 'Weitere Informationen zum Stellenangebot im Internet'