Senior Machine Learning Engineer - Orchestration - Applied AI & LLMs (x/f/m)

Doctolib

YOUR IMPACT We are looking for a Senior Machine Learning Engineer to join the ML Engineering team in Patient Solutions. Your mission will be to improve how people access quality care and manage their health over time by building and leading AI and ML systems that create real, measurable impact. You will work in a feature team developing intelligent patient-facing solutions, from smart practitioner discovery to long-term care management, playing a key technical role in shaping how we scale our AI capabilities across Europe. Working in the tech team at Doctolib means building innovative products and features to improve the daily lives of care teams and patients.   WHAT YOU'LL DO Your responsibilities include but are not limited to: * Design and implement ML and AI solutions aligned with patient product goals, covering search, retrieval, and personalized care pathways * Build and maintain large-scale retrieval pipelines, including hybrid search, embedding systems, vector databases, and multi-stage re-ranking architectures * Develop, fine-tune, and evaluate LLM and VLM models using techniques such as knowledge distillation, Mixture-of-Experts (MoE) architectures, and prompt engineering * Build and orchestrate agentic AI systems, integrating external data and capabilities through tools and MCP-based integrations * Define metrics aligned with product goals, run controlled end-to-end experiments using W&B, MLFlow, or Braintrust, and communicate findings to guide product and technical decisions * Deploy solutions to production in collaboration with our ML platform team, ensuring reliability, observability, and performance at scale, and act as a technical reference to elevate the team's standards and practices   WHO YOU ARE Before you read on: if you don't have the exact profile described below, but you feel this job description matches your skill set, we still encourage you to apply.   You'll be a great fit if you: * You have 7+ years of experience in Machine Learning, Deep Learning, or AI Engineering, with a strong track record of taking models from prototype to production at scale * You have strong experience in Information Retrieval and modern retrieval stacks: hybrid search (sparse + dense), large-scale embeddings and vector databases, multi-stage retrieval and re-ranking pipelines, RAG architectures, and tool/MCP-based integrations * You are proficient in LLM and VLM application development: fine-tuning, MoE architectures (via LiteLLM or Model Garden), knowledge distillation, prompt engineering, and systematic benchmarking of LLM/VLM systems * You have hands-on experience building and orchestrating agentic AI systems (e.g., using ADK) * You demonstrate strong scientific rigor: designing metrics aligned with product goals, running controlled experiments, and communicating results clearly to both product and engineering stakeholders * You have experience operating large-scale applications in production (monitoring, reliability, performance, observability), bring strong analytical skills, and approach your work with a user-first mindset. You are fluent in English   It would be fantastic if you: * Have experience in B2C marketplace environments * Have experience in other ML methodologies: pattern mining, recommendation systems, experimentation, or causal inference   LIFE AT DOCTOLIB TECH * Our solutions are built on a single fully cloud-native platform that supports web and mobile app interfaces, multiple languages, and is adapted to country and healthcare specialty requirements. * Our stack is composed of Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native. * We leverage AI ethically across our products to empower patients and health professionals. Discover our AI vision here. Want to learn more about our tech culture and environment? Visit the Doctolib Tech site.   WHAT WE OFFER * Free comprehensive health insurance (basic package) for you and your children * 25 days of paid vacation per year, plus up to 14 days of RTT * Free mental health and coaching services through our partner Moka.care * Work from abroad for up to 10 days per year thanks to our flexibility days policy * Lunch vouchers (Swile card) worth €8.50 per working day, with €4.50 covered by Doctolib * A subsidy from the work council to refund part of the membership to a sport club or a creative class * 50% reimbursement of your public transport subscription * ParentCare Program: Enjoy full salary coverage (100%) during your first month of birth leave, and 75% during the second, covered by Doctolib * Enrollment in Doctolib's long-term employee value sharing plan called DoctoGrowth * For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support * Relocation support in case of international mobility * Access to the best AI tools for coding, development and dedicated training   OUR INTERVIEW PROCESS * Recruiter Interview * Feature Building Interview * System Design Interview * Behavioral Interview * At least one reference check We want your experience to be clear, respectful, and transparent. Learn more about our hiring process on our candidate experience page.   JOB DETAILS * Permanent position * Full-time * Location: Doctolib Paris office in Levallois-Perret * Hybrid work setup (3 days/week in the office) * Start date: as soon as possible   WE WELCOME EVERYONE 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, or 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!   YOUR DATA PRIVACY All information provided is processed by Doctolib for application management. For data processing details, click here: France. Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights.

Winamax

Basés en plein cœur de Paris, nous faisons bouger l’industrie des jeux en ligne. Leader du poker et des paris sportifs en France avec 350 000 joueurs et 600 000 parieurs mensuels, nous sommes présents en Espagne, en Allemagne et bientôt en Italie et au Portugal. Nous offrons à nos joueurs une expérience exceptionnelle, à la fois technique, créative et qualitative. Innovation, unité et appartenance : nos valeurs façonnent une culture d’entreprise multiculturelle et unique.   Et si tu avais un futur dans le jeu ?   Techniquement, Winamax c’est : Un moteur de jeu puissant et innovant : adaptation dynamique de l'offre de jeu, parties de poker hautement configurables, détection de fraude Une architecture distribuée et scalable conçue pour traiter en temps réel les flux de la plateforme Une plateforme modulaire soumise à des contraintes de haute disponibilité et de sécurisation des données, capable de gérer de fortes audiences A PROPOS DU POSTE   Pour accompagner le développement de Winamax sur de nombreuses problématiques liées à l’analyse de données, nous recrutons un ML /AI Engineer.   Au sein de la team Data, tu participeras activement à la recherche et au développement de modèles de machine learning et d’IA générative afin de répondre à des problématiques complexes en optimisant les processus décisionnels, en automatisant des tâches, et en concevant des solutions innovantes adaptées aux besoins des utilisateurs.   Tu seras également impliqué(e) dans l'évaluation des performances des modèles, leur déploiement en production, ainsi que la veille technologique pour rester à la pointe des avancées en intelligence artificielle.   Tu as l'occasion unique de contribuer au développement de l’équipe avec un terrain de jeu fertile en attente d’innovation et de créativité !   LES MISSIONS DU POSTE   Identifier les besoins et les problématiques métiers et proposer des solutions concrètes et pragmatiques Concevoir et maintenir des modèles de machine learning / IA générative Collaborer étroitement avec les équipes techniques et produit Effectuer une veille active sur l’ensemble des sujets ML / IA   QUELQUES EXEMPLES DE PROJETS   Conception d’un Chatbot POC d’IA générative (génération de documentation technique, veille réglementaire, RAG à usage interne ...) Analyse et modélisation de données sur différents domaines (intégrité de jeu, addiction, …)   ENVIRONNEMENT TECHNIQUE   Stockage : RDS, S3, DynamoDB, Redis, Redshift Orchestration de containers : ECS Fargate / EC2  Jobs : Lambda, Batch Workflows : AirflowML : SageMaker / ML Flow BI : Quicksight Langages : Python, Javascript (Node) Streaming : Kafka CI : Github Action Monitoring : Cloudwatch, Grafana

Alma

🧡 ABOUT ALMA At Alma, we believe sustainable commerce depends on fair, well‑balanced trade. Because finance plays a pivotal role in business, our mission is to put it back in its rightful place - serving merchants and consumers. Our installment and deferred payment solutions help merchants boost sales by 20% or more, increase customer loyalty, and deliver a seamless shopping experience - without encouraging bad debt. As the buy now pay later leader in France and active in 10 European countries, we've empowered over +25,000 merchants and 10 million consumers. With 380+ Almakers and €100M+ ARR, Alma is scaling rapidly across Europe as a member of the Next40, and we're just getting started!   👐 ABOUT THE TEAM  The Developer Experience (DevX) squad is part or the Engineering’s Platform Tribe. The Platform Tribe groups the DevX squad and the Site Reliability Engineering quad. The members of the tribe are responsible for building the foundational infrastructure, security layers, and core systems that empower Alma's entire product and engineering organization to scale reliably.  You will join a dedicated squad focused entirely on the daily lives of our engineers: Our mission is to eliminate friction from a developer's machine all the way to production. We build, optimize, and maintain the delivery systems, local development environments, and CI/CD automation that allow our product teams to ship high-quality code safely, frequently, and with absolute confidence. We operate in a highly dynamic, polyglot environment. We are looking for an engineer driven by technical curiosity, who loves exploring new tools and technologies to continuously elevate our engineering standards. This is a full-time position, based in Paris or fully remote in France.   💼 ABOUT THE JOB * Own and continuously optimize our CI/CD pipelines and delivery workflows, ensuring fast feedback loops and secure deployments. * Build and evolve the local developer experience, making it seamless for engineers to spin up, test, and debug services locally across a variety of languages and frameworks. * Own and maintain part of our cloud infrastructure and container orchestration platforms using Terraform and Kubernetes. This will also require participating in identifying and solving infrastructure-related production issues and performance troubleshooting, upgrading our platforms for long-term resilience. * Be a technical referent and drive engineering standards forward by acting as a trusted partner for product engineering squads on delivery and infrastructure best practices, sharing expertise and providing guidance. * Encourage a culture of technical curiosity by frequently evaluating, benchmarking, and prototyping emerging technologies to bring the best tool sets to the team and promoting a culture of continuous learning across the org.   🧰 YOU WILL WORK WITH Python, TypeScript, PHP, Docker, Kubernetes, Terraform, GitHub Actions, GCP, Postgres and Datadog.   🧩 ABOUT YOU To succeed in this job * You've built at least 5 years of experience in a relevant role, ideally in DevOps or Platform Engineering. * You take ownership of cross-functional infrastructure initiatives, driving complex projects from design to delivery alongside multiple teams. * You have hands-on experience designing, building, and optimizing CI/CD pipelines end to end (GitHub Actions or equivalent). * You're comfortable building robust automation pipelines and modernizing local development environments. * You are fluent in french (primary working language) with a good level of English, for documentation, cross-team exchanges, and technical reading, writing as well as presenting. And it will be nice if you also * Have production-grade proficiency with Infrastructure as Code (not necessarily Terraform) and container orchestration (not necessarily Kubernetes). * Are familiar with an observability and monitoring stack (Datadog, Prometheus, or equivalent). * Have worked with local development environment tooling (Nix, mise, asdf, devenv, devcontainers, etc.). * Working knowledge of at least one language from Alma's stack (Python, TypeScript, or PHP), enough to read, debug, and contribute when needed. Don't meet every single requirement? At Alma, we believe great hires come from diverse paths. If this role excites you, we encourage you to apply. We value potential, curiosity and the ability to grow as much as experience.   🧘 WHAT’S IN IT FOR YOU If you join, you will be able to grow and impact on: * The infrastructure and tooling that directly shapes the productivity and confidence of every engineer at Alma. You'll have real ownership over your scope, the space to explore and prototype freely, and the support to take initiative. * The DevX squad, a dynamic, polyglot team where learning together is a core habit, not an afterthought. * Alma's growth across Europe, as the infrastructure you build directly enables us to scale reliably across 10 markets and more in the future, your work has a clear and measurable line to the business.   🤑 COMPENSATION & BENEFITS * Competitive salary based on 12 months * Profit-sharing and employee savings plan * Health insurance: 100% covered by Alma including family package * Disability insurance: 100% covered by Alma * Sport: partnerships with Gymlib and Classpass, or €30/month reimbursement for your sports activities * Maternity/paternity leave: salary maintained at 100% during leave with no seniority requirement. Return to work at 4/5 schedule paid at 100% for 8 weeks. * Sustainable Mobility Package (FMD): €544.80/year (excluding full-remote contracts) * Meal vouchers: €10/day, 50% covered by Alma * Mental health: free access to MindDay platform * Paid time off: 25 days/year ****(+ additional paid leave granted for employees on executive contracts) * Access to our Learning & Development Platform * 2 weeks of full remote possible per year in summer for people working in hybrid remote   🎯 INTERVIEW PROCESS * Video call with a Talent Acquisition team member to understand your path, motivation & present you the role. * Video call with your future manager to deep dive the role, the team, your profile and answer all your questions. * Case study presentation with 2 - 3 team members (ideally in house) to assess your practical knowledge**.** * Take-home coding test, followed by a remote feedback session. * Live system design interview to assess your practical and architectural knowledge. * A coffee chat with the squad you’ll join to further assess your skills and team fit.   🌍 DIVERSITY & INCLUSION At Alma, we believe that diversity fuels innovation and makes our community stronger. We are committed to building a workplace where every person feels seen, respected, and empowered to do their best work whatever their gender, background, ethnicity, age, sexual orientation, religion, disability or lived experience. As an equal opportunity employer, we welcome applicants from all walks of life, and all employment decisions are made based on qualifications, merit, and business needs.