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il y a 16 heures
OverviewMeetic, a Match Group company, has been pioneering online dating for over 20 years. We manage a diverse portfolio of brands across Europe and beyond, including Meetic, Match, Lexa, LoveScout24, OurTime, DisonsDemain, Zweisam, single parents, Even, and Stir. Our teams design, build, and scale platforms across 20+ countries and 18 languages, aiming to help every single find the right match for their lifestyle and life stages. We drive growth for other Match Group brands like The League, OkCupid, Archer, Salams, and Plenty Of Fish. We work IRL 3 days a week in our Paris office: 53 rue de Chateaudun, 75009 Paris. Role overview: Meetic relies heavily on data to drive and grow its business. Data is our daily compass for decision-making. The Data Science team sits at the crossroads of the company\'s key challenges and makes the most of all information contained in our data. It is part of Meetic\'s Data Hub, which brings together data-related stakeholders (Data Science, ML/Data Engineers, DBAs, BI). Our extensive data ecosystem allows us to work across all business domains including profile recommendations, pricing and optimization of business models, optimization of subscription and a-la-carte offers, customer knowledge and experience, detection and prevention of harmful behaviors, marketing analytics and acquisition, image processing, and more. Our technical environment includes Google Vertex AI, BigQuery, Elasticsearch, Kafka, Scala, Python, Spark, SQL, AWS. We are looking for creative and passionate people who enjoy working in a dynamic and international environment.How you\'ll make an impactDesign, implement and maintain ML pipelines and CI/CD workflows (training, deployment, retraining)Expose ML models through inference APIs (Cloud Run / Vertex AI Endpoints) to be consumed by product and platform servicesOwn monitoring, alerting and reliability of ML systems in productionWrite optimized, high-performance, scalable, testable, maintainable, and observable codeEnsure operational readiness of ML models (logging, metrics, incident handling)Act as a local ML Ops reference for the Paris Data Science teamSupport DS teams to industrialize models and experimentsCollaborationWork in an international, multi-brand environment with teams across Europe, Canada, and the USCollaborate with platform teams (Canada/US) on GCP infrastructure and standardsWork closely with Product squads of E&E brands to understand and address their needsCollaborate with Data Engineers and software architect to ensure data quality and production deployment of modelsPromote a data-driven culture in a highly collaborative environment and share your expertiseTechnology watchStay up to date with advances in machine learning and devops to apply best practices within the companyWe could be a match ifYou hold an engineering degree or a Master\'s degree in mathematics or computer science, with at least 5-6 years of experience in similar rolesYou enjoy discovering scientific methods and challenging existing ones, always keeping in mind the ultimate goal of improving the performance of our dating applicationExperience with ML / DevOps practicesExperience with CI/CD, Docker, TerraformExperience with monitoring & alerting (Cloud Monitoring, Grafana, etc.)Understanding of IAM, service accounts, securityComfortable operating ML systems in productionStrong understanding of model serving constraintsComfortable communicating in English during meetingsExcellent analytical and synthesis skillsExcellent written and verbal communication skillsRigorous scientific mindsetTeam spirit and proactive attitudeCuriosity and strong learning abilityNice to haveExperience working with Kafka or event-driven architectures in ML or data platformsKnowledge in A/B test frameworkKnowledge in QlikView, Looker, or other BI toolsWhy Match Group?Work on products that impact millions, collaborating with global and diverse teams, shaping relationships and connections worldwideBenefit from a healthy work-life balance in a flexible and welcoming environmentEnjoy a modern Paris office with a rooftop, close to transport and amenitiesAccess Edenred lunch vouchers, a discounted ClassPass subscription, premium healthcare with WTW, and our Worklife sustainable mobility packageGrow through e-learning, conferences, and knowledge-sharing sessionsThrive in a dynamic, agile tech environment with evolving microservices and a culture of knowledge sharing and autonomyParticipate in hackathons and drive innovative projectsJoin regular social events like breakfasts, lunches, and apérosUse our products for freeMeetic, a Match Group company, is an equal opportunity employer and we value the rich dynamics that diversity brings to our company.If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please let your Talent Acquisition partner know. #J-18808-Ljbffr
