ML engineer confirmé (H/F)

SFEIR

  👾 Tu as l'âme d'un vibe coder, tu dév avec Claude Code en fond, tu prompts plus vite que ton ombre et tu penses que l'IA va redéfinir ton métier ?   Welcome chez SFEIR !   🧠 Ce qu'on recherche chez toi   Tu n'as pas peur de : - Construire des pipelines data solides avec Python, SQL, FastAPI, Apache Spark…;  - Maîtriser BigQuery, Dataflow, Composer et l'écosystème Google Cloud ;  - Penser architecture data, monitoring, optimisation et scalabilité ;  - Migrer des stacks legacy vers le cloud sans casser la prod ;  - Expérimenter avec l'IA générative pour booster tes workflows data.   Tu veux comprendre les enjeux business, pas juste faire tourner des ETL.   🛠️ Les projets sur lesquels tu pourrais t'amuser   - Développer des applications de pilotage retail avec impact business direct ;  - Migrer des infrastructures Hadoop vers Google Cloud en mode Lift & Shift ;  - Créer des algorithmes ML temps réel pour optimiser la supply chain ;  - Construire des dashboards Looker Studio qui changent la donne ;  - Orchestrer des workflows complexes avec Airflow et Terraform.    Bref, du concret, pas des PoC qui finissent au placard.   🚀 Pourquoi nous rejoindre ?   Prêt·e à faire passer ton expertise au niveau supérieur ? Chez SFEIR, on ne te demande pas de choisir entre excellence technique et environnement collaboratif. Ici, les deux vont de pair.   Tu rejoins une communauté d'expert.e.s où ce ne sont pas les postes qui définissent ta trajectoire, mais tes compétences. C’est ce qu’on appelle une “Skill-Based Organization” : tu construis ton parcours selon tes aspirations, pas selon un organigramme figé.   Ta progression, accélérée par le collectif :   - Un vrai management technique : ton Engineering Manager codent sur des projets clients,  - Un recrutement exigeant via nos tests techniques “PlayOffs” : ils te positionnent comme expert.e crédible dès ta première mission,  - Un écosystème d'apprentissage complet : formations continues via SFEIR Institute, partenariats officiels (Google Cloud, AWS, Microsoft, dbt,.. ), certifications, labs et sessions animées par des experts internes. - Une culture digitale native : agile, décentralisée, libre.  - Une vie de communauté intense : des événements tech toutes les semaines, 71 groupes thématiques pour échanger, et des cercles volontaires (Inclusivité, Green IT…). - Des trajectoires qui s'inventent avec toi : expertise pure (Individual Contributor), management (Engineering Manager), Trainer, Speaker ou Évaluateur.trice. Chaque année, le Comité Carrière fait le point avec toi pour co-construire la suite. - L'après SFEIR : 83% de nos alumni rejoignent de grandes entreprises où la tech compte.   Tu veux progresser ? On te file les moyens.  Tu veux explorer ? On t'ouvre les portes. Tu veux t'impliquer ? Ta voix compte.   💰 Combien tu vas gagner chez SFEIR ?   À l’issue des PlayOffs, nos tests techniques, on sera en mesure de déterminer tes compétences, et surtout ton potentiel afin de te proposer une rémunération adaptée.   Pour te donner une idée, la rémunération moyenne au sein de SFEIR Lille avec ton expérience démarre à 44 000€ brut par an.   Ton salaire sera ensuite revalorisé chaque année. Tes compétences, rien que tes compétences !   🚀 Notre botte secrète : RAISE & SFEIR AI   Maîtriser l'IA est un impératif. Le programme SFEIR IA te permet de devenir un.e développeur.euse augmenté.e pour garder une longueur d'avance. Tu auras accès à RAISE, notre plateforme GenAI interne (multi-LLM, RAG instantané) pour builder des trucs puissants en quelques clics.   ✨ Qui sommes-nous ?    SFEIR est un pure player du digital et de la transformation numérique, animé par 900 techs en France, en Belgique et Luxembourg.   Catalyseur d'innovation technologique à la pointe de la révolution Gen AI ; nous propulsons les entreprises vers leur futur digital en orchestrant leur transformation via : l'IA générative ; l'architecture Cloud et Data ;  le développement d'applications web & mobiles nouvelle génération.   Bref, on est là pour coder, apprendre, partager, et construire des produits qui comptent.   🧀 Et Lille dans tout ça ?   Depuis 2014, SFEIR Lille, c'est : Une team de 100 techs passionné.e.s, Une centaine de projets locaux à fort impact, Une forte présence sur la scène tech (50 confs en 2024 💥), Des locaux à 5 min des gares,  Des afterworks, des Meetups, des formations, des talks… bref, de la vie.   🎯 En pratique   Lieu : chez nos clients sur la métropole lilloise, Télétravail : 2 à 3 jours par semaine,   🎮 La suite des événements   Call avec Lisa, Gaëlle ou Khadija (nos recruteuses lilloises), Entretien RH personnalisé,PlayOffs (tests techs en pair prog avec 3 Sfeirians), Rencontre avec la team business, Final avec notre boss local.   🤩 Ready to build the future of data with us ?   Tu veux architecturer des plateformes data de ouf, avec une team qui te ressemble, dans une boîte qui respecte ton rythme et ta curiosité ?   Let's go ✌🏻 ! Envoie-nous ton CV ou viens discuter en DM.

Wallapop

Wallapop is a Barcelona based scale-up driven by the purpose to empower people to embrace a more conscious and human way of consumption. We believe in a world where collaborative economy is mainstream. This is what drives us. 💫 Wallapop operates in Spain, Italy and Portugal, offering a catalogue of several hundreds of millions of products and services. Powered by technical innovation and continuous improvement, we bring together the scale & trust of classifieds with the marketplace’s convenience & reach. 🌱 Our mission is to enable a connected trade ecosystem, making 2nd-hand the norm through smart use of technology.   The Challenge 🧩 Wallapop generates billions of data points daily. With a mature data infrastructure already in place, our Data Science and Machine Learning area is gaining significant momentum. As we scale, we face the exciting challenge of taking our ML Platform to the next level to support complex solutions in Personalization, Search, Trust & Safety, and Logistics. As an ML Engineer (MLOps), you will contribute to the evolution of our ML Platform and MLOps practice. You will partner with Data Scientists, Data Engineers, and DevOps to collaborate on a vision that balances innovation with reliability, ensuring our models scale efficiently to serve millions of users.   What You Will Do 👇 * Iterate and maintain Wallapop’s ML Platform, identifying opportunities to improve speed, reliability, and maintainability. You will help execute the long-term vision and roadmap for MLOps. * Work hand-in-hand with Data Scientists to support their efforts, ensuring they have the tooling to develop, deploy, and monitor scalable models efficiently. * Adopt and promote engineering best practices (coding standards, testing, CI/CD) within the ML domain. * Partner with Data Engineering and DevOps to align ML development with company-wide infrastructure and data governance standards. * Investigate and integrate new frameworks and tools (e.g., for LLMs or real-time inference) to keep our stack modern and effective.   What We’re Looking For 🔎 * Solid experience contributing to and maintaining production-ready ML platforms and pipelines. You understand the lifecycle from experimentation to monitoring. * Solid understanding of AWS components (SageMaker, Lambda, S3) and container orchestration with Kubernetes. * Strong software engineering background with proficiency in Python, Git, and CI/CD workflows. You write robust, testable code. * Experience with real-time ML architectures, leveraging tools like Kafka for low-latency ingestion and inference. * Hands-on experience with vector databases or semantic search infrastructure (e.g., OpenSearch, Vertex AI), including indexing and retrieval tuning. * Familiarity with the broader ML toolkit, such as orchestration/tracking tools (Flyte, MLFlow, Feast) and standard libraries (Pandas, Scikit-learn, TensorFlow/PyTorch). * Professional proficiency in English, with the ability to communicate technical concepts clearly to diverse stakeholders.   What Would Be A Plus 🚀 * Hands-on experience working with LLMs, RAG architectures, and libraries like LangChain or LlamaIndex. * Familiarity with Big Data technologies like Spark or Beam. * Experience with Data Engineering tools such as Airflow, dbt, or Datahub. * Experience with other cloud platforms like GCP or Azure in addition to AWS.   Do note that all our jobs are 📍 Barcelona based. We follow a hybrid model where flexibility rules. We commit to a minimum of 6 days per month in the office. Each team self-organizes to decide on cadence and in-person/remote rituals. Wallapop is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees as we want Wallapop to be a place for everyone. Additionally to the opportunity to contribute to an agile product set up and work together towards achieving our meaningful mission, we offer the following 🍭 Perks & Benefits: * Generous individual learning budget of 2k per year * Free office meals, lunch selection from different providers * Group and individual English, Catalan & Spanish lessons as part of our working day * Private Health Insurance with Alan * Flexible working hours + intensive Fridays * Flexible remuneration to deduct from gross salary (kindergarten/food/transport check) * Gym & Wellness plan, including physiotherapist in the office * Generous referral Program & Charity Donation * Bonus for weddings & newborns * Wallapop Renta (Tax income support) * Monthly plan for free shipping, bumps & home-pick-up on our services * Work anniversary Gifts and Birthday Surprises * Contribution towards your WIFI in your monthly payroll * One-off payment based on compensation package to go towards setting up your home office * Relocation package (monetary support and legal advice) and visa sponsorship, if applicable * 26 holidays per year * TOP hardware of your choice (latest Apple or Windows)   What does the hiring process for this position look like? 👀 **Please, note that all interviews take place remotely over hangouts.** * Intro Call - run by Talent Acquisition, focus on providing more information about the role and the company as well as going over your experience, motivation, and expectations. This usually takes 45-60 minutes. * Case Study - you will be working in a case study to assess the technical skills required for the role.  * Expertise Interview - run by the core team, focusing on the hard skills and the ability to deliver in a given context. This usually takes 60-90 minutes. * Stakeholder Interview - run by the hiring team and relevant stakeholders, focus on the ability to collaborate & deliver in a cross-functional set-up. This usually takes 60 minutes. * Culture-Add Interview - run by culture interviewers, focus on adherence to Wallapop's purpose and business proposition. This usually takes 60 minutes. * Offer - should you be the right candidate, your offer will be discussed over a call with talent acquisition and will then be confirmed in writing.

Wallapop

Wallapop is a Barcelona based scale-up driven by the purpose to empower people to embrace a more conscious and human way of consumption. We believe in a world where collaborative economy is mainstream. This is what drives us. 💫 Wallapop operates in Spain, Italy and Portugal, offering a catalogue of several hundreds of millions of products and services. Powered by technical innovation and continuous improvement, we bring together the scale & trust of classifieds with the marketplace’s convenience & reach. 🌱 Our mission is to enable a connected trade ecosystem, making 2nd-hand the norm through smart use of technology.   The Challenge 🧩 We are looking for a Senior Product Manager with expertise in Motors, Automotive Marketplaces, or Vehicle Aggregators to join the team, reporting directly to a Director of Product. You will own the end-to-end experience for the Motors vertical, identifying product-market fit for new services that cater to both private sellers, buyers and professional car dealers. This is a high-impact role where you will balance the complexity of high-ticket transactions with user simplicity, ensuring that buying or selling a vehicle on Wallapop is transparent, trustworthy, and efficient. This role requires a blend of industry insight, product vision, and leadership skills to drive initiatives that address the unique challenges of the automotive market. You will work in a cross-functional team, partnering daily with software engineers, designers, data scientists, and stakeholders like marketing, sales (professional accounts), operations, and customer service. What You Will Do 👇 * Shape the Motors Ecosystem: Contribute to the long-term vision for Wallapop’s automotive category. You’ll prioritize a roadmap that boosts inventory quality, generates high-value leads for professionals, and makes listing a vehicle effortless for everyone. * Tailor the Experience: Adapt our core marketplace features to meet the unique demands of the automotive world—think specialized search tools, smart vehicle categorization, and intuitive dealer management systems. * Launch New Services: Partner with Operations, Finance, and external partners to design and launch value-added services like vehicle history reports and financing options. * Experimental Discovery: Use data and experimentation (such as A/B testing) to improve the user journey from the first search to the final contact, reducing uncertainty and improving the quality of every lead. * User & Market Intelligence: Act as the voice of the customer. You’ll gather insights from buyers, private sellers, and professional dealerships to deeply understand and solve the friction points of online vehicle sales. * Collaborative Leadership: Guide cross-functional teams through the full product lifecycle, fostering an environment where high-quality features are shipped effectively and collaboratively. * Evaluate Performance: Keep a pulse on product health and user feedback to drive continuous improvements and service excellence. * Stay Curious: Keep up with automotive trends—from the rise of electric vehicles to new digital retail regulations—and advocate for best practices that keep Wallapop ahead of the curve. What We’re Looking For 🔎 * Product Leadership: Significant experience in Product Management, specifically within automotive marketplaces, motors classifieds, or vehicle aggregators. You have a track record of navigating the unique dynamics of C2C and B2C transactions. * Market Mastery: You understand the car-buying journey deeply—from how private sellers list their vehicles to how professional dealers use tools like DMS or inventory feeds to reach buyers. * Technical Collaboration: You are comfortable bridging the gap between product vision and engineering. You can discuss API integrations and system architecture effectively to ensure technical feasibility and scalability. * Strategic & Analytical Thinking: You enjoy solving complex problems and can use data to back up your decisions. You’re comfortable with data analysis tools and methodologies. * Collaborative Influence: You have a natural ability to lead cross-functional teams and influence stakeholders at all levels, fostering a culture of transparency and shared goals. * Language: Fluency in English is required to collaborate with our international team. What Would Be A Plus 🚀 * Machine Learning Familiarity: Experience or interest in ML concepts, such as price estimation models or recommendation algorithms, to help us provide smarter insights to our users. * Spanish Language Skills: While our main language is English, Spanish proficiency is a plus   Do note that all our jobs are 📍 Barcelona based. We follow a hybrid model where flexibility rules. We commit to a minimum of 6 days per month in the office. Each team self-organizes to decide on cadence and in-person/remote rituals. Wallapop is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees as we want Wallapop to be a place for everyone. Additionally to the opportunity to contribute to an agile product set up and work together towards achieving our meaningful mission, we offer the following 🍭 Perks & Benefits: * Generous individual learning budget of 2k per year * Free office meals, lunch selection from different providers * Group and individual English, Catalan & Spanish lessons as part of our working day * Private Health Insurance with Alan * Flexible working hours + intensive Fridays * Flexible remuneration to deduct from gross salary (kindergarten/food/transport check) * Gym & Wellness plan, including physiotherapist in the office * Generous referral Program & Charity Donation * Bonus for weddings & newborns * Wallapop Renta (Tax income support) * Monthly plan for free shipping, bumps & home-pick-up on our services * Work anniversary Gifts and Birthday Surprises * Contribution towards your WIFI in your monthly payroll * One-off payment based on compensation package to go towards setting up your home office * Relocation package (monetary support and legal advice) and visa sponsorship, if applicable * 26 holidays per year * TOP hardware of your choice (latest Apple or Windows)   What does the hiring process for this position look like? 👀**Please, note that all interviews take place remotely over hangouts.** Intro Call - run by talent acquisition, focus on providing more information about the role and the company as well as going over your experience, motivation, and expectations. This usually takes 45-60 minutes. Expertise Interview - run by the hiring team, focus on the required core skills and the ability to deliver in a given context. This usually takes 60 minutes. Case Study Submission - you will be assigned a task to submit within 5 up to 7 days where you will be able to showcase your expertise / technical skills required for the role. Case study Interview - You will present the case study to showcase your product expertise. This usually takes 60 minutes. Stakeholder Interview - run by relevant stakeholders reflecting the reality of the context of the role, focus on the ability to collaborate & deliver in a cross-functional set-up. This usually takes 60 minutes. Culture Interview - run by culture interviewers, focus on adherence to Wallapop's purpose and business proposition. This usually takes 60 minutes.  Offer - should you be the right candidate, your offer will be discussed over a call with talent acquisition and will then be confirmed in writing.