Senior MLOps Engineer - Data Ingestion - Paris

Ekimetrics

Les entreprises qui performent décident mieux. Depuis 2006, Ekimetrics aide les organisations à transformer leurs décisions en avantage concurrentiel durable grâce à des solutions d'IA. Notre double ambition est d'allier performance et durabilité, pour construire un leadership pérenne. Nos solutions sont une combinaison unique de People et de technologie. Notre plateforme Eki.Decisions complète l'expertise de nos équipes en marketing, efficacité commerciale et data science, pour connecter l'IA aux décisions qui structurent toute l'organisation. Avec une équipe 100% internalisée et des bureaux à Paris, Londres, New York, Hong Kong et Shanghai, nous nous engageons pour une IA responsable et frugale, pour garantir un avantage concurrentiel constant, et pour rester fidèles à nos valeurs et à notre ADN. Votre mission En tant que Senior AI & ML Engineer, vous intervenez sur des projets clients variés (retail, banque & assurance, luxe...), en régie directement au sein des équipes de nos clients ou depuis nos bureaux, en fonction des missions. Vous êtes un maillon clé entre la donnée, la technologie et les enjeux métier de nos clients, avec un rôle moteur sur le cadrage technique et l'accompagnement des profils plus juniors. * Concevoir, développer et industrialiser des solutions d'IA (machine learning, deep learning, GenAI/LLM) répondant à des problématiques métier concrètes ; * Concevoir et arbitrer les architectures data & MLOps robustes et scalables (Azure, Databricks, GCP, AWS...), en garantissant leur qualité technique ; * Assurer la mise en production, le monitoring et l'amélioration continue des modèles en environnement client ; * Encadrer et faire monter en compétences les profils plus juniors sur les projets, à travers du mentorat technique et des code reviews ; * Collaborer avec data scientists, data engineers, consultants et équipes métier pour cadrer les besoins et livrer des solutions à fort impact ; * Participer activement au cadrage technique et à l'avant-vente de nouvelles missions. Votre profil * Diplômé.e d'une école d'ingénieur, d'un master universitaire ou équivalent, avec une spécialisation en IA / Data Science ; * 4 à 6 ans d'expérience en tant qu'AI Engineer, ML Engineer ou Data Scientist avec une forte dimension engineering, idéalement acquise en conseil ou en régie ; * Maîtrise de Python et des frameworks ML/DL (scikit-learn, PyTorch, TensorFlow, Hugging Face) ; * Expérience sur au moins un cloud provider (Azure, GCP ou AWS) et les outils MLOps (Databricks, MLflow, Airflow, Docker, Kubernetes...) ; * Bonnes pratiques de software engineering : versioning, tests, CI/CD, code review ; * Une expérience sur les technologies GenAI/LLM (RAG, fine-tuning, agents) est un vrai plus ; * Une appétence pour le mentorat et l'encadrement technique d'équipes projet ; * Aisance relationnelle avec les clients, capacité à vulgariser des sujets techniques et goût pour le mode conseil ; * Curiosité, autonomie, esprit d'équipe et envie d'avoir un impact concret ; * Anglais professionnel. Pourquoi nous rejoindre ? Chez Ekimetrics, vos idées comptent vraiment et vous appartiennent : à vous de leur donner vie. Nous cultivons un esprit entrepreneurial qui vous encourage à repousser les limites pour créer un impact significatif. Mais il ne s'agit pas seulement de réussites individuelles : nous avançons ensemble, en nous enrichissant mutuellement. Ensemble, nous apprenons et progressons en continu, que ce soit à travers des parcours de carrière personnalisés, des projets stimulants, du mentorat, ou simplement grâce à la diversité des perspectives que chacun.e apporte. Et surtout, nous croyons au plaisir dans le travail. Ekimetrics est un environnement stimulant et bienveillant, où chacun.e peut s'épanouir en étant pleinement soi-même. En 2023, Ekimetrics a obtenu le statut d'entreprise à mission qui témoigne de notre ambition forte en matière de RSE. Notre raison d'être : Faire de la data science et de l'intelligence artificielle l'accélérateur de la transformation durable des organisations. Ekimetrics fait partie du classement French Tech 120 ! Nous avons été sélectionnés par La French Tech pour rejoindre le prestigieux groupe des 120 scale-ups françaises les plus performantes, avec un fort potentiel pour devenir des leaders internationaux. Vous aurez accès : * A un package salarial compris entre 59 K€ et 68 K€ + prime d'intéressement ; * Au catalogue de formation Eki.Academy qui contient des programmes qui vous feront monter en compétences sur nos solutions et nos métiers, des parcours apprenants sur notre plateforme digitale ainsi que des programmes dédiés à nos enjeux prioritaires, dont la sensibilisation aux sujets environnementaux avec la Climate School ; * A une vie sportive, artistique, musicale, ludique, caritative et engagée : de notre salle de sport privatisée à nos expositions d'art, en passant par des jeux vidéo et des concerts, ou encore les défis RSE sur la plateforme Vendredi. Toutes ces initiatives sont portées par nos Eki.People ; * De nombreux évènements et séminaires pour rester proche de votre communauté ; * Des locaux chaleureux dans un quartier dynamique au cœur de Paris (Grands boulevards) ; * Une politique de télétravail flexible, avec 3 jours de présence obligatoire par tranche de 15 jours. En tant qu'employeur, Ekimetrics offre à tous les mêmes opportunités d'accès à l'emploi sans distinction de genre, ethnicité, religion, orientation sexuelle, statut social, handicap et d'âge. Ekimetrics veille à développer un environnement de travail inclusif qui reflète la diversité dans ses équipes.

Deezer

LIVE THE MUSIC WITH US From a pioneer tech start-up created in 2007, Deezer has become one of the first French unicorns and the second largest independent music streaming platform in the world. At eighteen years old, we’re only just coming of age. Now listed on #EuroNext, Deezer is a rapidly-growing, cutting-edge player in the music streaming market. If you want an environment where you can make your voice heard and be at the forefront of music and tech, look no further! We believe music is all about embracing the things that make us different. Deezer is a vibrant community that celebrates uniqueness, diversity and individuality, and thrives on collaboration. Our international and passionate teams pride themselves on being at the forefront of the music experience, going beyond streaming and helping the world to Live the Music. We’re constantly evolving alongside our customers, partners, artists and employees — striving to make Deezer the most personal and innovative streaming service in the world. Ready for an electrifying journey? Apply now and do your part in bringing extraordinary music experiences to people’s lives! **Join Us** JOB DESCRIPTION Position based in Paris As a Senior Expert Platform Engineer in the DevXP team, you will shape our Internal Developer Platform (IDP). You will drive platform strategy, architecture, and execution to help engineers ship faster, safer, and with higher quality. A key part of your role will be to actively collect needs and best practices from engineering teams, turning those insights into relevant, well-grounded platform solutions. You will set engineering standards along with senior engineers from the whole company, mentor peers, and bridge platform engineering with AI and cybersecurity. Responsibilities * Platform Engineering - Architect and evolve the IDP, CI/CD pipelines, and automation frameworks. Own the long-term technical vision, define platform standards (IaC, GitOps), and select best-in-class tooling across build, deployment, monitoring, and security. * Developer Experience - Proactively identify and eliminate friction across the software lifecycle. Track DX metrics (DORA, SPACE) and use data to prioritize platform investments. Be the internal advocate for developers. * AI-Augmented Platform - Integrate AI capabilities into the platform (intelligent code review, anomaly detection, smart test generation). Evaluate and operationalize AI tools (GitHub Copilot, LLM-based assistants) and explore agentic automation to reduce developer toil. * Security & Compliance - Embed security-by-design into every platform layer: secure CI/CD (SAST, DAST, SCA, secret scanning), supply chain integrity (SLSA, SBOM), and least-privilege access. Lead our journey toward a DevSecOps culture, building the practices, automation, and mindset that will make security a first-class citizen across all engineering teams - an ambition we are actively working toward. * Reliability & Observability - Define SLOs/SLAs for platform services, ensure full-stack observability, lead incident response, and conduct blameless post-mortems. * Cross-functional Leadership - Collaborate with Engineering, SRE, Infrastructure, and Security teams. Mentor engineers, represent DevXP in architectural forums, and communicate technical trade-offs to diverse audiences. QUALIFICATIONS Qualifications * Degree in Computer Science or equivalent. * 8+ years in platform engineering or DevOps, with 3+ years at senior/expert level. * Track record of operating platforms at scale; fluency with TDD, trunk-based development, and continuous delivery. Required Skills * Platform & DevOps - CI/CD (GitHub Actions), GitOps, IaC (Terraform), Kubernetes, Docker, ArgoCD, GCP (GKE) * Observability - Prometheus, Grafana; SLO/SLI/error budget management. * AI & Automation - Hands-on integration of AI tools in engineering workflows; MLOps familiarity. * Leadership - Technical influence without direct authority, mentoring, strong communication. Nice to Have Skills * Platform & DevOps - Jenkins, Ansible, Cloud Run), testing strategies, Python/Go/Bash. * Observability - OpenTelemetry * Security - DevSecOps pipelines, SAST/DAST/SCA, SBOM, SLSA, policy-as-code (OPA, Kyverno), zero-trust principles. At Deezer, diversity drives innovation. Whatever makes you uniquely you, your experiences, your way of thinking, your journey, might be exactly what we need. If this role speaks to you and aligns with your interests and capabilities, even if you don’t meet 100% of the qualifications listed, please give it a try and tell us more! #BeYou ADDITIONAL INFORMATION At Deezer, you can be your true self as we believe that #everyvoicematters. We strive to build an inclusive culture and foster a diverse environment. Because we care and want to ensure each employee feels welcome and safe at work, we continuously focus on fighting biases and helping diverse teams work well together through multiple learning opportunities, e-learnings and workshops right from the onboarding : * Regular Diversity & Inclusion internal and external talks * Dedicated employee work streams on Gender equity, Ethnicity & Culture, Disability, Parenthood (signatory of the Parental Challenge) and LGBTQIA+ * Multiple e-learnings and mandatory training sessions for all managers * English and French courses for all, so that everyone can connect and feel included Beyond benefits like transportation, we offer you extra perks like: * A Deezer premium family account for free * Access to gym classes * Join over 70 Deezer Communities to connect beyond your day-to-day work, share passions, learn from each other and #Belong * Deezer parties several times a year and drinks every thursday * Allowance for sports, travelling and culture * Meal vouchers * Mental health and well-being support from Moka.Care * Great offices always located in dynamic and attractive districts, whether in Paris, London or Sao Paulo! * Hybrid remote work policy If you want to learn more about life and culture at Deezer, please visit our Welcome to the Jungle page here!

Vestiaire Collective

Vestiaire Collective is the leading global platform for desirable pre-loved fashion and a pioneer in transforming how people consume fashion.   Our mission is simple: make circular fashion the norm, not the exception. Through technology, expertise, and a highly engaged global community, we enable millions of people to buy and sell fashion in a more sustainable way.   Founded in Paris in 2009, Vestiaire Collective is now a globally scaled marketplace with offices in Paris, London, Berlin, New York, Singapore, and Ho Chi Minh City, and logistics hubs across Europe, Asia, and the US. Today, we are a team of around 600 people from over 50 nationalities, united by a shared ambition: to drive meaningful change in the fashion industry.   Our values, Activism, Transparency, Dedication, Greatness, and Collective, shape how we build, collaborate, and grow every day. About the Role We are seeking a Foundational Machine Learning Engineer for a high-impact greenfield opportunity to build our MLOps infrastructure from the ground up at Vestiaire Collective. While driving our AI authentication initiatives (deploying multi-model approaches including computer vision for luxury product authentication and counterfeit detection) will be your immediate focus, your long-term mission will be to scale foundational architecture across the entire marketplace. You will expand our ML capabilities to power broader domains, primarily focusing on search and recommendation systems, with future expansions into dynamic pricing and marketing technologies. Acting as the bridge among Applied Science, Data Platform, and Backend Engineering, you will design robust, decoupled architectures and spearhead the MLOps strategy with our Director of Data, prioritizing system maintainability, engineering hygiene, and the reliable deployment of complex models, ensuring all our ML models across the board deliver high-throughput, low-latency business impact. What You Will Do Short-Term Impact (First 6 Months): Partner closely with the Operations squads and Data Scientists to accelerate ML and RAG prototypes into resilient, production-ready code. You will directly integrate with the team to deploy, optimize, and scale heavy-width CV and VLM models focused on fraud detection and luxury product authentication, immediately improving our trust and safety ecosystem. Mid-Term Foundation (MLOps Lifecycle & Infrastructure): Lead the end-to-end foundational groundwork of our ML lifecycle by designing robust systems for Data & Feature Management, Model Tracking & Registry, and Model Serving & Monitoring. You will scale infrastructure by automating continuous retraining pipelines that handle diverse deployment cadences (from daily fraud detection to weekly recommendations), design resilient multi-model architectures, and critically evaluate the technical overhead and TCO of our in-house tools against enterprise-grade platforms to ensure long-term resilience. Long-Term Vision (Centralizing 360-Degree MLE Capabilities): Act as a pioneer and cornerstone hire for the ML engineering discipline at Vestiaire Collective, setting the technical standards to help scale the AI/ML organization. You will transition into a centralized foundational role, moving beyond single-squad operations to mentor the team and provide horizontal ML infrastructure support to multiple domains, including Search, Discovery, Pricing, Marketing, and Data Platforms. Who You Are Must-Haves: Experience: 5-8+ years of hands-on experience in Machine Learning Engineering, specifically focused on building and scaling MLOps infrastructure and productionizing ML systems. Production Infrastructure: Proven expertise in deploying low-latency, high-throughput ML inference services (using FastAPI, TorchServe, Triton Inference Server, or Ray Serve) across both classical lightweight and heavy-width ML models (PyTorch/TensorFlow). Strong preference for AWS (EKS, EC2, SageMaker) / Snowflake and Open Source ecosystems over GCP/Azure. MLOps & Pipelines: Deep experience building automated, continuous model retraining pipelines to handle concept drift (ranging from daily to weekly cycles). You have orchestrated decoupled, multi-model AI architectures using tools like Airflow, Kubeflow, or Metaflow, and possess strong expertise in model registry and tracking tools like MLflow or Weights & Biases. Feature Stores: Hands-on experience evaluating, building, or extensively leveraging online (Redis, DynamoDB) and offline (Snowflake, S3) Feature Stores in a production environment. Familiarity with frameworks like Feast or custom dbt-based pipelines is highly valued. Strategic Builder Mindset: You are an analytical builder who thinks long-term. You can successfully evaluate TCO for bespoke internal systems versus enterprise tools, anticipate technical liabilities, and design robust architectures that handle unpredictable peak traffic surges. Collaboration & Engineering Hygiene: Strong cross-functional communication skills. You excel at translating complex ML prototypes into highly scalable production code backed by strict version control, rigorous testing, and CI/CD best practices, seamlessly connecting data science innovation with backend engineering execution. Nice-to-Haves: Relevant Domain Expertise: Background in E-commerce, Single-SKU Marketplaces, Search & Recommendation, Trust & Safety, or Counterfeit Detection. Vision, Edge & Optimization: Hands-on experience with Vector Databases, Visual RAG pipelines, deploying Deep Learning VLM models, and optimizing models for edge computing or low-latency inference (e.g., ONNX, TensorRT). Infrastructure & Observability: Advanced experience with containerization (Docker, Kubernetes), Infrastructure as Code (Terraform), and data transformation workflows (dbt). Familiarity with setting up advanced monitoring for model performance, concept drift, and system health (Datadog, Prometheus).