AI/ML Engineer (m/w/d) – Generative AI + Legal AI

Purpose of position Data sits at the heart of the company. This role ensures that Awin can fully leverage the data available across the group, enabling the development of robust reporting capabilities that support stronger commercial decision making and elevate campaign management for client facing teams. As an AI/ML Engineer, you will be responsible for researching, designing, building, and automating predictive models, as well as establishing metrics to monitor model performance and accuracy. You bring strong communication and analytical skills, work effectively both independently and within a team, and contribute proactively to improving engineering standards and working practices. You possess a deep understanding of data and business requirements and can translate these into clear technical specifications. You write clean, maintainable, and high quality code, and you are capable of implementing a wide range of data extraction, transformation, and storage methodologies. Your expertise enables you to develop new predictive models while also enhancing and optimizing existing ones. In this role, you will break down complex requirements into structured, actionable tasks. As part of the Data Services department, you will collaborate with a global team of data engineers, data analysts, and other big data specialists across the organisation.   Key Tasks & responsibilities * Write clean, elegant and maintainable code with Data engineering and AI/ML best practices * Understanding business objectives and developing models that help to achieve them, along with the creation and monitoring of business relevant metrics * Find new ways solve complex business problems with self improving automated predictive models. * Evaluate existing models and recommend improvements for better result and performance efficiency * Develop best practices for building and orchestrating predictive models. * Be responsible for quality, accuracy and interpretation of the result sets.   Education & experience * Bachelor’s degree or higher in Data Science, Data Engineering or a related field, preferably with a strong focus on mathematics, statistics, or data engineering. * 2+ years experience as data engineer on AI/ML project with Python * Strong experience using Databricks, including Jobs, Asset Bundles, Delta Lake, and MLflow, as well as Azure data engineering tools such as Azure Data Factory and Azure Data Lake Storage (ADLS). * Solid understanding of Scrum practices and a strong Agile mindset. * Advanced proficiency in Python and its key data and ML libraries (NumPy, PySpark, Scikit learn, TensorFlow/PyTorch) * Working knowledge of generative AI models (e.g., ChatGPT, Claude), Databricks GenAI tooling (including embedding models), and modern data structures such as vector databases. * Strong expertise in designing end to end ETL solutions using Databricks, including identifying, extracting, and curating datasets for machine learning model development. * Strong knowledge of cloud platforms (Azure and AWS) and relevant services. * Hands on experience with big data technologies, including Databricks and Spark.   Skills & Core competences * Very strong analytical skills to translate business need into actions with proactive approach to task and challenges, delivering project on time and budget * Very strong understanding of the principles of machine learning * Create mind-set to bring new ideas and push the machine learning project to next level * Willing to change, learn and start initiatives * Ability to face existing challenges self-reliant with the courage to take autonomous decisions if needed * Very strong communication and interaction skills * Very strong project and process management competency, keen to deliver your project on time/budget without compromising on quality and results * Team player, willing to improve yourself   Our Offer * Flexi-Week and Work-Life Balance: We prioritise your mental health and wellbeing, offering you a flexible four-day Flexi-Week at full pay and with no reduction to your annual holiday allowance. We also offer a variety of different paid special leaves. * Remote Working Allowance: You will receive a monthly allowance to cover part of your running costs. In addition, we will support you in setting up your remote workspace appropriately. * Flexi-Office: We offer an international culture and flexibility through our Flexi-Office and hybrid/remote work possibilities to work across Awin regions * Meal Vouchers: You will be supported with a certain net sum to spend it on a variety of lunches. * Health & Wellbeing: The insurance covers several types of health, vision and / or dental treatments for you and for up to one additional family member. * Remote Working Furniture Package: After 3 months of employment, you will be eligible for a furniture package, which should enable you to set up a proper workplace at your remote working location * Appreciation: Thank and reward colleagues by sending them a voucher through our peer-to-peer program. Established in 2000, Awin is proud of our dynamic, social and inclusive culture. Like all businesses, we’ve had to adapt and nurture our culture in a virtual environment. Our virtual ‘Life @ Awin’ hub brings our colleagues from across the globe together for various social activities. Diversity & Inclusion are paramount to us, and we proudly pursue and hire diverse team members. We champion uniqueness and authenticity; this is who we are at our core. Our network of affiliate partnerships are diverse and transparent, as are the employees powering our vision to build the world’s leading open partner ecosystem. We welcome all backgrounds, identities, and experiences. If you need support at any point in the application or interview process, please let us know. Awin is part of the Axel Springer group. Learn more at axelspringer.com/en/, and explore the Axel Springer Essentials here: axelspringer.com/en/inside/the-essentials-what-we-have-adapted-and-why   Apply now to begin the next stage of your career at a progressive company that supports both your professional and personal development. #LI-RS1

AI ENGINEER / AI ENABLEMENT ENGINEER (M/F/D) Location: Flexible — Hamburg, Berlin ABOUT FREENOW FREENOW empowers smarter mobility decisions, helping people move freely and cities thrive. As Europe’s leading Mobility Super App, we serve more than 54 million users across 16 markets and 170+ cities. AI is becoming core to how we build products, operate the platform, and support our teams. To move from experimentation to real, measurable impact, we are building a central AI Enablement & Evaluation team — and we’re looking for a Senior AI Engineer to help turn AI into a reliable, scalable capability across the company. If you enjoy building AI systems that actually ship, scale, and deliver value — not just demos — this is your next ride 🚕 YOUR MISSION As a Senior AI Engineer, you will sit at the intersection of AI engineering, evaluation, and enablement. Your role is to ensure that AI systems at FREENOW are production-ready, measurable, and safe, while accelerating adoption across product and engineering teams. You will help transform AI from isolated pilots into reusable platforms, tools, and workflows used across the organization. YOUR DAILY ADVENTURES WILL INCLUDE * Designing, building, and maintaining production-grade AI systems using LLMs, agents, and retrieval-based architectures * Owning and evolving the AI Evaluation Framework, including: * multi-turn evaluations * quality, safety, and hallucination metrics * offline and production-data evaluation * Partnering with Product, Engineering, Legal, and Security to ensure AI solutions are compliant, observable, and trustworthy * Supporting and scaling internal AI products such as FreenowGPT and domain-specific AI assistants * Enabling teams through shared tooling, patterns, and best practices (e.g. Gemini enablement, prompt & agent patterns) * Building reusable AI components (RAG pipelines, agent orchestration, model access layers) * Helping define standards for agent-ready architecture (MCP integrations, model abstraction, permissions) * Monitoring AI system performance, cost, and reliability in production * Acting as a technical reference point for AI across squads — from experimentation to rollout OUR AI & TECH STACK Python | LLM APIs (Gemini, OpenAI) | Retrieval-Augmented Generation (RAG) Databricks | Cloud Infrastructure | APIs & Backend Services Evaluation tooling | Observability & monitoring | Internal developer tooling (Exact tools matter less than strong engineering fundamentals — the stack will evolve.) TO BE SUCCESSFUL IN THIS ROLE * You have strong experience as an AI Engineer, ML Engineer, or Senior Software Engineer working with modern AI systems * You’ve built or operated LLM-based systems in production, not just prototypes * You understand the failure modes of LLMs (hallucinations, non-determinism, evaluation challenges) * You consistently balance speed, quality, and pragmatism; knowing when to ship, when to iterate, and when correctness is non-negotiable in production AI systems. * You are comfortable designing evaluation frameworks and defining quality metrics for AI behavior * You have solid backend engineering fundamentals (APIs, services, data access) * You enjoy working across teams and explaining complex AI concepts clearly * You care about reliability, safety, and real business impact, not hype * You are fluent in English NICE TO HAVE * Experience with agentic systems or multi-step workflows * Familiarity with AI governance, risk, or compliance considerations (e.g. GDPR, EU AI Act) * Experience enabling other teams through platforms, SDKs, or internal tools * Prior work in marketplaces, mobility, or large-scale consumer products WHY THIS ROLE MATTERS Most companies experiment with AI. Very few manage to scale it responsibly and profitably. This role is central to: * reducing AI risk in customer-facing systems (support, dispatch, booking), * unlocking company-wide productivity through internal AI products, * and building the technical foundations that allow FREENOW to move fast without breaking trust. You’ll help define how AI is built at FREENOW for years to come. ---------------------------------------------------------------------------------------------------------------------------------- BENEFITS & PERKS IN A NUTSHELL: * Flexible working arrangements * LinkedIn Learning * Sabbatical & special leave policies * WeRoad partnership * Birthday, 24th + 31st December off * Short term EU work policy * Mobility Credit * Health insurance * Employee assistance program   Plus more local benefits depending on your work location! ---------------------------------------------------------------------------------------------------------------------------------- DIVERSITY, EQUITY & INCLUSION: Freenow is an equal opportunity employer and we consider qualified applicants regardless of race, religion, national origin, gender, gender identity, sexual orientation, disability or age. We want you to grow and evolve, bring your true self to work.  ---------------------------------------------------------------------------------------------------------------------------------- ABOUT US: Freenow by Lyft empowers smarter mobility decisions, helping people to move freely and cities to thrive. Through our multi-mobility app, we feature broad options for everyone across 9 European markets and over 180 cities. Millions of passengers can access services including taxis, private hire vehicles, carsharing, car rental, e-scooters, e-bikes, e-mopeds, and public transport within a single app.  In July 2025 Freenow was acquired by Lyft, a global mobility platform, which connects riders and drivers for billions of rides across North America and Europe. Together, Freenow and Lyft are creating a more caring and connected world, with transportation for everyone. We are a global, diverse, highly motivated, and collaborative team that strives for excellence and likes to have fun. Ready for your next ride?