Machine Learning Research Intern at Bell Labs collaborating with scientists on innovative machine learning research and thesis projects in AI and telecommunications.
About the role
- ML Ops Engineer at Meetic, a Match Group company driving data initiatives and machine learning models for their dating platforms. Collaborating in an international environment with modern technologies.
Responsibilities
- 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
Requirements
- 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
- Experience working with Kafka or event-driven architectures in ML or data platforms (nice to have)
- Knowledge in A/B test framework (nice to have)
- Knowledge in QlikView, Looker, or other BI tools (nice to have)
Benefits
- 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
Job title
Job type
Experience level
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Not specified
Degree requirement
Tech skills
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