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Senior mlops / ai engineer

Gand
Meetic
De 80 000 € à 100 000 € par an
Publiée le Publiée il y a 10 h
Description de l'offre

Role overview
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. We also drive growth for other Match Group brands such as The League, OkCupid, Archer, Salams, and Plenty Of Fish.

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 behaviors, 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.

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