ML Ops Engineer

At Meetic, a Match Group company, we have been pioneering online dating for over 20 years, leveraging our legacy to reinvent how people meet, connect, and build meaningful relationships across Europe and beyond. As part of Match Group, we manage a diverse portfolio of brands, from iconic names like Meetic, Match, Lexa, and LoveScout24 to tailored experiences for singles over 50, OurTime, DisonsDemain, Zweisam, and single parents, Even and Stir. Our teams design, build, and scale platforms across 20+ countries and 18 languages, ensuring every single finds the right match for their lifestyle and lifestages. We also drive growth for other Match Group brands like The League, OkCupid, Archer, Salams, and Plenty Of Fish, expanding our impact worldwide. When it comes to dating, the connection starts online, but the real magic happens once you meet in real life (IRL). We think the same is true for creating the best platforms, so we work together IRL 3 days / week in our office, 53 rue de Chateaudun, 75009 Paris. Role overview Meetic relies heavily on data to drive and grow its business. As a truly data‑driven company, 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 the information contained in our data. It is part of Meetic’s Data Hub, which brings together all data‑related stakeholders (Data Science, ML/Data Engineers, DBAs, BI). Our extensive data ecosystem allows us to work across all business domains: profile recommendations for our users, pricing and optimisation of business models, optimisation of subscription and à‑la‑carte offers, customer knowledge and experience, detection and prevention of harmful behaviours, marketing analytics and acquisition, image processing …and much more Our technical environment: Google Vertex AI, BigQuery, Elasticsearch, Kafka,, 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 impact Design, 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 services Own monitoring, alerting and reliability of ML systems in production Write optimised, high‑performance, scalable, testable, maintainable, and observable code Ensure operational readiness of ML models (logging, metrics, incident handling) Act as a local ML Ops reference for the Paris Data Science team Support DS teams to industrialise models and experiments Collaboration Work in an international, multi‑brand environment with teams across Europe, Canada, and the US Collaborate with platform teams (Canada/US) on GCP infrastructure and standards Work closely with Product squads of E&E brands to understand and address their needs Collaborate with Data Engineers and software architects to ensure data quality and production deployment of models Promote a data‑driven culture in a highly collaborative environment and share your expertise Technology watch Stay up to date with advances in machine learning and devops to apply best practices within the company We could be a match if You hold an engineering degree or a Master’s degree in mathematics or computer science, with at least 5–6 years of experience in similar roles You enjoy discovering scientific methods and challenging existing ones, always keeping in mind the ultimate goal of improving the performance of our dating application Experience with ML / DevOps practices Experience with CI/CD, Docker, Terraform Experience with monitoring & alerting (Cloud Monitoring, Grafana, etc.) Understanding of IAM, service accounts, security Comfortable operating ML systems in production Strong understanding of model serving constraints Comfortable communicating in English during meetings Excellent analytical and synthesis skills Excellent written and verbal communication skills Rigorous scientific mindset Team spirit and proactive attitude Curiosity and strong learning ability Nice to have Experience working with Kafka or event‑driven architectures in ML or data platforms Knowledge in A/B test framework Knowledge in QlikView, Looker, or other BI tools Why Match Group? Work on products that impact millions, collaborating with global and diverse teams, shaping relationships and connections worldwide Benefit from a healthy work‑life balance in a flexible and welcoming environment Enjoy a modern Paris office with a rooftop, close to transport and amenities Access Edenred lunch vouchers, a discounted ClassPass subscription, premium healthcare with WTW, and our Worklife sustainable mobility package Grow through e‑learning, conferences, and knowledge‑sharing sessions Thrive in a dynamic, agile tech environment with evolving microservices and a culture of knowledge sharing and autonomy. Participate in hackathons and drive innovative projects Join regular social events like breakfasts, lunches, and apéros Use our products for free Meetic, 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. #Meetic #J-18808-Ljbffr