Machine Learning Ops Intern (x/f/m)

We are looking for a Machine Learning Operation Intern to join the Machine Learning Platform team of Doctolib.Doctolib operates state-of-the-art medical speech recognition models that power products such as our Consultation Assistant, Medical Dictation, and Telephone Assistant. These models run in both batch and real-time streaming modes. While the batch infrastructure is already robust and widely deployed, the streaming stack is less mature and needs to evolve into a scalable, production-grade system. As a Machine Learning Operation Intern, your mission will be to design and implement the next generation of our real-time speech infrastructure.Your responsibilities include but are not limited to:Conduct standardization initiatives across several projects leveraging speech technologiesLead MLOps initiatives for real‑time speech AIDesign and implement distributed, fault‑tolerant streaming inference componentsSet up model serving, autoscaling and rollout strategiesBuild a secure, high-performance system that can support large-scale usageBenchmark throughput, reliability and fault toleranceWe leverage AI ethically across our products to empower patients and health professionals. Discover our AI vision here and learn about our first AI hackathon here!You can also discover the topic you might work on during your internship here (topic 12).Who You AreBefore you read on, if you don't have the exact profile described below, but you feel this job description matches your skill set, we still encourage you to apply.You are a Master's student with practical experience working on ML problemsYou are very proficient in PythonYou are enthusiastic about collaborative workYou are eager to ask questions, admit mistakes, and learn new thingsYou are interested in improving healthcare through technologyYou are fluent in English and FrenchWhat We OfferA flexible workplace policy offering both hybrid and office-based modeLunch voucher with Swile cardWork Council subsidy to refund part of sport club membership or creative classReimbursement of public transportationThe interview processA coding game online testAn interview with our Talent Partner (30 minutes)A coding interview with the Hiring Manager (1 hour 30)Job detailsInternshipDuration: 6 monthsStart date: April 2026Location: Levallois-PerretWorking mode: Hybrid - 3 days a week at the officeIf you would like to find out more about tech life at Doctolib, feel free to read our latest Medium blog articles!At Doctolib, we are committed to improving access to healthcare for everyone. This translates into our recruitment process. We evaluate candidates based solely on qualifications and motivation, without any form of discrimination.The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, disability.To ensure equal opportunities, we invite you to exclude personal information (e.g. pictures, age) from your applications. If you require any accommodation, please let us know for support during the hiring process.Join us in building the healthcare we all dream of!All information provided is processed by Doctolib for application management. For data processing details, click here.Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights.