Senior MLOps / AI Engineer

Meetic, 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. As 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.

Meetic 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. Our data ecosystem spans profile recommendations, pricing and subscription optimization, customer knowledge, detection of harmful behaviours, marketing analytics, image processing, and more. Our technical environment includes Google Vertex AI, BigQuery, Elasticsearch, Kafka, Scala, Python, Spark, SQL, and AWS.

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 optimized, 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 industrialize 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:

• 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.
• 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.

Benefits:

• 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.