Data Engineer - AI/ML (f/m/d)

Artefact

Artefact, a global AI and data consulting company with rapid growth, is looking for a creative and tech-savvy Senior AI Engineer (m/f/d) to join the tech team full-time. Ideally, you are located in Hamburg, Munich, Berlin or nearby - but if you're based elsewhere in Germany and a great fit, we would still love to hear from you. Could this be you? Our data & AI experts develop production-ready, scalable solutions that bring real business value to our clients. You’ll work in interdisciplinary teams of data scientists, engineers, analysts and consultants to shape the future of data- and AI-driven products.   Your responsibilities: Innovate. You’ll help identify business needs, explore data and AI use cases, and drive projects from idea to production - whether it’s a proof-of-concept or a scalable solution. Build. You’ll own your work end-to-end - from concept and architecture to implementation, optimization, and delivery. You design smart, robust solutions using data or LLMs and other AI technologies. Train. You’ll stay ahead of the curve - experimenting with new models, prompt engineering, fine-tuning, and tools. You’ll also share your knowledge within the team and benefit from our partners’ training offers (Google, AWS, etc.). Collaborate. You’ll work closely with clients, product owners, and non-technical stakeholders, balancing technical excellence with practical business impact. Gain broad experience: * Work on 1-3 projects per year across different industries and use cases - from customer service automation to knowledge management and internal tools. * Build real-world data and AI applications using modern tools like LangChain, PydanticAI, MCP servers, RAG pipelines, vector databases (e.g. FAISS, Weaviate), LlamaIndex, Vertex AI, OpenAI APIs, and Hugging Face models. * Shape the way clients use data and AI, driving innovation and best practices in production environments.   Your mindset: * Curious & forward-thinking. You are passionate about solving complex problems using cutting-edge AI and data technologies. * Hands-on. You have experience with LLMs (e.g. OpenAI, Claude, Gemini, LLaMA), prompt engineering, API integration, and ML frameworks. * Holistic. You understand the full ML lifecycle, including data preparation, model deployment, evaluation, and monitoring. * Communicative. You can break down technical concepts for diverse audiences in English and ideally in German as well. * Supportive. You coach junior team members, provide constructive feedback, and actively contribute to our culture of learning.   Profile: * Degree in computer science, AI, data science or similar field. * Experience: 3+ years of experience in machine learning or AI engineering, with hands-on AI projects in production. * Proficiency in Python and cloud-based AI services (GCP, AWS, or Azure). * Solid understanding of data analysis/engineering and AI-specific components like RAG, prompt design, fine-tuning, embeddings, and model evaluation. * Familiar with DevOps and ML-Ops best practices (Docker, Kubernetes, CI/CD). * Strong problem-solving skills, a sense of ownership, and a structured approach to work. * Languages: Business-fluent German and English (both written and spoken) are mandatory to participate in client workshops and deliver polished presentations. * Work Eligibility: A valid work permit for Germany.   Why ARTEFACT? * Challenging projects with national and international clients across industries (e.g. L’Oréal, Samsung, Allianz, Sanofi). * Diverse career paths, promotions based on your performance - not tenure. * Strong team culture and real collaboration across disciplines. * Personal development through workshops, certifications, coaching, and access to partner programs (Google, AWS, etc.). * Attractive benefits: hybrid work, flexible hours, 1 additional day off for your birthday, Christmas & New Year's Eve off, mental health support, 4 weeks of workation, corporate benefits, office brunch, team events, and more.   Let’s shape the future of AI - together! Don't worry if you don't meet all the criteria! At Artefact, we value motivation, pragmatic problem-solving, and potential above all else. If you are excited about shaping the future of AI and ready to make a real impact, we'd love to hear from you. Artefact is a global consulting company specializing in data and AI services, headquartered in Paris. With 2,000+ consultants, data scientists, and engineers across 26 countries, we work with global market leaders. At our German offices, we are on a rapid growth trajectory, advising leading national and international clients cross-industry on how to unlock the full potential of their data, build scalable data architectures, and implement cutting-edge AI solutions. Artefact is dedicated to leveraging data and AI to enhance organizations and their people. We believe that unique perspectives fuel innovation. At Artefact, we are committed to creating an inclusive environment where everyone can thrive. We welcome and consider all applications purely based on merit, skills, and potential - regardless of gender identity, sexual orientation, race, ethnicity, religion, age, background, or disability. Come as you are! Curious to learn more? Reach out to us at: bewerbung-de@artefact.com.

Doctolib

WHY THIS ROLE As our Director of Site Reliability Engineering, reporting to our VP of Platform Engineering, you'll own the core infrastructure layers that everything at Doctolib runs on: cloud infrastructure, database operations, network infrastructure, and observability. You will also lead the Doctolib Operations Center (DOC) and drive a decisive shift from reactive operations to a proactive, world-class reliability culture. This is a rare opportunity to shape the infrastructure backbone of Europe's leading healthtech company, at a moment when Doctolib is actively expanding multi-cloud capabilities, scaling to new countries, and building the reliability culture that will define the next decade of healthcare innovation. Why this is an extraordinary challenge * Real stakes, every day. When Doctolib is down, consultations don't happen, diagnoses are delayed, care journeys are interrupted. The infrastructure you build is a direct lever on patient outcomes — in a world where 8 of the top 10 causes of death in Europe are preventable. * A once-in-a-generation platform transition. Multi-cloud, monolith modularisation, international expansion — all happening simultaneously. You won't inherit a finished platform. You'll define what it becomes. * Reliability as the competitive moat. As we scale AI health companions, automate clinical workflows, and launch across Europe, the speed and resilience of the platform directly determines how fast 700+ engineers can ship innovations that change healthcare. * A cultural build, not just a technical one. The incident response culture, observability standards, and operational ownership model you establish here will shape how Doctolib engineers work for years to come. WHAT YOU'LL DO * Build and run a world-class SRE org of 25+ engineers across Cloud Infrastructure, Database & Storage, Network Infrastructure, Observability Tooling, and the Doctolib Operations Center * Own the infrastructure strategy and roadmap — cloud, database, network, observability — and deliver against company OKRs * Lead the Doctolib Operations Center: set incident response standards, drive MTTR reduction, embed blameless post-mortem culture across engineering * Architect and execute our multi-cloud strategy — reducing vendor lock-in, cutting migration costs, and enabling international expansion * Own network infrastructure at scale: load balancing, CDN/WAF, VPCs, peering, zero-trust networking across a high-traffic, multi-country platform * Drive observability as a product — give 700+ engineers true visibility into system health and turn observability maturity into an operational excellence lever * Lead from the front as a senior technical voice in the Platform org and broader Tech leadership team WHO YOU ARE * 12+ years in software engineering, including 5+ years leading managers and running infrastructure or SRE organisations at scale * Track record of taking SRE practices from reactive to proactive — with measurable reductions in incidents and MTTR * Strong multi-cloud and network infrastructure experience: load balancing, CDN/WAF, VPCs, peering, at high-traffic scale * Deep database operations background: large-scale transactional systems (PostgreSQL, Aurora), streaming/CDC (Kafka), data layer FinOps * Experience building observability platforms that give teams genuine visibility — metrics, logs, traces, alerting * Sharp process thinking: SLOs, error budgets, incident management, blameless post-mortems * Outcome-driven: you track reliability, cost efficiency, and engineering velocity as business metrics, not just technical ones * Strong communicator and influencer at executive level — equally credible with senior engineers and business stakeholders * Builder of high-performing, people-first engineering cultures * Fluent in English; comfortable in fast-paced, international environments * You recognise yourself in our playbook values Bonus Points If You Have… * Experience in healthcare, regulated, or high-compliance industries (HDS, ISO 27001, SOC2, GDPR, data sovereignty) * Familiarity with our stack: Ruby on Rails, Node.js, Go, Python, React, AWS, GCP, Kubernetes, PostgreSQL, Datadog, GitHub Actions * French language proficiency * Experience with AI-augmented infrastructure tooling or ML platform operations * M&A or post-acquisition infrastructure integration experience WHAT WE OFFER * A Deutschlandticket (Germany-wide public transport pass) fully paid for by Doctolib * 28 vacation days + 1 additional day for each full calendar year of employment (up to a maximum of 30 days) * Work from abroad for up to 10 days per year thanks to our flexibility days policy * Company health insurance with great supplementary benefits through our partner Allianz * Company pension scheme (bAV) through Allianz with an employer subsidy of 40% (15% within the probationary period) * Enrollment in Doctolib's long-term employee value sharing plan called DoctoGrowth * The Doctolib Parent Care program, which includes one month additional parental leave and much more * Free mental health and coaching services through our partner Moka.care * Subsidized sports membership through our partner Urban Sports Club * A flexible workplace policy offering both hybrid and office-based mode * Alongside healthy snacks and our regular breakfast buffet, we provide a subsidized meal benefit * For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support   If you would like to find out more about tech life at Doctolib, feel free to read our latest Medium blog articles!   At Doctolib, we are committed to improving access to healthcare for everyone. This translates into our recruitment process. We evaluate candidates based solely on qualifications and motivation, without any form of discrimination. The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, disability. To ensure equal opportunities, we invite you to exclude personal information (e.g. pictures, age) from your applications. If you require any accommodation, please let us know for support during the hiring process. Join us in building the healthcare we all dream of! All information provided is processed by Doctolib for application management. For data processing details, click here. Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights.   #LI-DB1

Parloa

ABOUT PARLOA Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience, one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale. ABOUT THE ROLE: Security at Parloa isn't an afterthought — it's foundational to how we build and operate an AI platform that enterprises trust with sensitive voice and chat data at scale. As Principal Security Engineer, you'll set the technical direction for security across our engineering organisation: from secure architecture and threat modelling, to embedding security thinking into how a fast-growing AI company designs, builds, and ships. This is a hands-on, high-ownership role. You won't just maintain a security programme — you'll define it, working across infrastructure, product, and AI/ML teams to ensure security is built in from the start, not bolted on afterwards. You'll be a technical authority and a multiplier, raising the security bar across the whole organisation. AREAS OF OWNERSHIP: * Own the technical security engineering strategy across Parloa's platform, infrastructure, and AI/ML systems * Lead deep threat modelling and architecture reviews for new and existing systems, including LLM-based and voice/chat AI pipelines * Drive secure-by-design practices into the software development lifecycle, partnering closely with engineering teams rather than gatekeeping after the fact * Design and improve detection, monitoring, and incident response capabilities across cloud and AI infrastructure * Guide security architecture for multi-tenant, sensitive data flows across Parloa's enterprise customer base * Support compliance and governance efforts (e.g. SOC 2, ISO 27001) by ensuring technical controls are sound and well-documented * Mentor senior+ engineers and security practitioners, building security capability across the wider organisation * Act as a trusted technical voice in conversations with enterprise customers and partners on security matters * Stay ahead of the evolving threat landscape for AI and voice/chat systems, bringing new risks and mitigations to the team proactively WHO YOU ARE: * Extensive experience (15+ years) in security engineering, with demonstrated impact at Staff or Principal level * Deep expertise in application security and/or cloud security, threat modelling, and secure architecture for distributed, cloud-native systems * Hands-on experience with cloud security across AWS, GCP, or Azure, and container orchestration (Kubernetes) * Strong understanding of identity and access management, encryption, and secure data handling at enterprise scale * Experience securing systems handling sensitive or regulated data, ideally with exposure to GDPR or similar frameworks * A track record of driving security strategy and influencing engineering culture across an organisation, not just executing individual fixes * Excellent communication skills, able to explain security risk and trade-offs clearly to engineers, leadership, and customers * Genuine curiosity about AI systems and a willingness to dig into the emerging security challenges they introduce OUR ENGINEERING VALUES: At Parloa, we hire, promote, and evaluate based on cultural and technical excellence. You’ll thrive here if you: * Earn Trust – act with transparency and reliability. * Obsess Over Customers – always start with the customer problem. * Think Big – set bold goals and pursue them fearlessly. * Have Integrity – do the right thing, especially when it’s hard. * Disagree & Commit – debate with candor, align fast, and deliver. * Own It – take full responsibility for outcomes, not just tasks. * Dive Deep – master the details without losing sight of the big picture. * Bias for Action – move fast, decide quickly, iterate fearlessly. * Deliver Value – measure success by customer and business impact. * Insist on the Highest Standards – raise the bar continuously. * Go the Extra Mile – make the impossible possible. * Hire & Elevate the Best – raise the bar with every hire   OUR RECRUITING PROCESS: Recruiter Interview → Technical Peer Interview → Expert interview(s) → Bar Raiser   WHY PARLOA? We’re at the beginning of a new era in customer experience, one where AI doesn’t just respond, but understands, reasons, and takes action. We’re building agentic AI that enterprises trust with their most important customer moments: complex questions, high volumes, real stakes. When millions of people reach out to a brand, those interactions aren’t just support tickets; they’re defining experiences. We’re here to raise the standard: making every conversation seamless, intelligent, and genuinely helpful. If you care about shaping how businesses and customers connect at scale—and want your work to matter in real, everyday moments—this is where you do it. At Parloa, ownership isn’t a buzzword; it means being accountable for outcomes, not just tasks. We operate in a category that’s evolving fast, where the bar is high, and the problems are complex. We hire people who think in solutions, communicate with clarity, and follow through. People who are comfortable making decisions, taking responsibility, and raising the standard for themselves and those around them. We’ve grown beyond the earliest startup phase, but we’ve kept the intensity: fast execution, direct feedback, and a strong expectation to contribute meaningfully from day one. Backed by leading global investors like General Catalyst, EQT Ventures, and Altimeter Capital, we’re scaling with a clear ambition: to become the global category leader in enterprise-grade conversational AI.     ---------------------------------------------------------------------------------------------------------------------------------- Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information. Parloa is an e-verify employer in the USA. Please click here to learn more. * We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.