Ph3Role overview /h3 pMeetic, a Match Group company, has been pioneering online dating for over 20 years, reinventing how people meet, connect, and build meaningful relationships across Europe and beyond. /p pAs part of Match Group, we manage a diverse portfolio of brands including Meetic, Match, Lexa, LoveScout24, OurTime, DisonsDemain, Zweisam, and single‑parent brands like Even and Stir. Our teams design, build, and scale platforms across more than 20 countries and 18 languages, ensuring every user finds a suitable match. We also drive growth for other Match Group brands such as The League, OkCupid, Archer, Salams, and Plenty Of Fish. /p pMeetic relies heavily on data to drive and grow its business. The Data Science team sits at the crossroads of key company challenges and makes the most of all the information contained in our data. We are part of Meetic’s Data Hub, which brings together all data‑related stakeholders. /p pOur data ecosystem spans profile recommendations, pricing and subscription optimization, customer knowledge, detection of harmful behaviors, marketing analytics, image processing, and more. Our technical environment includes Google Vertex AI, BigQuery, Elasticsearch, Kafka, Scala, Python, Spark, SQL, and AWS. /p h3How you’ll make an impact /h3 ul liDesign, implement and maintain ML pipelines and CI/CD workflows (training, deployment, retraining) /li liExpose ML models through inference APIs (Cloud Run / Vertex AI Endpoints) to be consumed by product and platform services /li liOwn monitoring, alerting and reliability of ML systems in production /li liWrite optimized, high‑performance, scalable, testable, maintainable, and observable code /li liEnsure operational readiness of ML models (logging, metrics, incident handling) /li liAct as a local ML Ops reference for the Paris Data Science team /li liSupport DS teams to industrialize models and experiments /li /ul h3Collaboration /h3 ul liWork in an international, multi‑brand environment with teams across Europe, Canada, and the US /li liCollaborate with platform teams (Canada/US) on GCP infrastructure and standards /li liWork closely with Product squads of EE brands to understand and address their needs /li liCollaborate with Data Engineers and software architects to ensure data quality and production deployment of models /li liPromote a data‑driven culture in a highly collaborative environment and share your expertise /li /ul h3Technology watch /h3 pStay up to date with advances in machine learning and devops to apply best practices within the company. /p h3We could be a match if /h3 ul liHold an engineering degree or a Master’s degree in mathematics or computer science, with at least 5-6 years of experience in similar roles /li liEnjoy discovering scientific methods and challenging existing ones, always keeping in mind the ultimate goal of improving the performance of our dating application /li liExperience with ML / DevOps practices /li liExperience with CI/CD, Docker, Terraform /li liExperience with monitoring alerting (Cloud Monitoring, Grafana, etc.) /li liUnderstanding of IAM, service accounts, security /li liComfortable operating ML systems in production /li liStrong understanding of model serving constraints /li liComfortable communicating in English during meetings /li liExcellent analytical and synthesis skills /li liExcellent written and verbal communication skills /li liRigorous scientific mindset /li liTeam spirit and proactive attitude /li liCuriosity and strong learning ability /li /ul h3Nice to have /h3 ul liExperience working with Kafka or event‑driven architectures in ML or data platforms /li liKnowledge in A/B test framework /li liKnowledge in QlikView, Looker, or other BI tools /li /ul h3Benefits /h3 ul liWork on products that impact millions, collaborating with global and diverse teams, shaping relationships and connections worldwide /li liBenefit from a healthy work‑life balance in a flexible and welcoming environment /li liEnjoy a modern Paris office with a rooftop, close to transport and amenities /li liAccess Edenred lunch vouchers, a discounted ClassPass subscription, premium healthcare with WTW, and our Worklife sustainable mobility package /li liGrow through e‑learning, conferences, and knowledge‑sharing sessions /li liThrive in a dynamic, agile tech environment with evolving microservices and a culture of knowledge sharing and autonomy /li liParticipate in hackathons and drive innovative projects /li liJoin regular social events like breakfasts, lunches, and apéros /li liUse our products for free /li /ul pMeetic, a Match Group company, is an equal‑opportunity employer and we value the rich dynamics that diversity brings to our company. /p pIf 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. /p /p #J-18808-Ljbffr