Senior MLOps Engineer - Data Ingestion - Paris

À propos du poste

<h2><strong>Your Impact</strong></h2> <p>We are looking for a <strong>Senior</strong> <strong>MLOps Engineer</strong> to join the <strong>Panda Team</strong> (Data & ML Operations) in <strong>Data & AI Platform team</strong>.</p> <p>Your mission will be to build and maintain secure ML pipelines in production, transforming how we handle healthcare data at scale. You will work in a feature team developing critical data infrastructure that enables data-driven decision-making while protecting patient privacy across millions of users.</p> <p>Working in the tech team at Doctolib means building innovative products and features to improve the daily lives of care teams and patients.</p> <h2><strong>What you'll build</strong></h2> <p>Your responsibilities include but are not limited to:</p> <ul> <li><strong>Design and implement end-to-end ML model pipelines in production </strong>(LLM and custom models) with robust deployment, evaluation, and monitoring frameworks</li> <li>Own <strong>data pseudo-anonymization</strong> architecture within ingestion services, converting Tier 0 (personal identifiers) to Tier 1 (anonymized data) while ensuring data quality and model performance</li> <li>Build and maintain secure data export services with ML-based threat detection to prevent attack vectors (SQL injection, etc.) using adaptive models rather than manual rules</li> <li>Manage golden datasets and implement production model evaluation frameworks to ensure anonymization quality and system reliability</li> <li>Build and maintain data pipelines that efficiently extract, transform, and load data from various sources, handling multiple data formats (text, images, audio, video)</li> <li>Implement automation and orchestration tools using ML orchestration platforms (MLflow, Braintrust, or similar) to streamline infrastructure provisioning and reduce manual effort</li> <li>Monitor data and ML platforms for performance, reliability, and security; identify and troubleshoot issues proactively</li> <li>Mentor team members on MLOps expertise and best practices to reduce knowledge silos and build organizational capability</li> </ul> <h2><strong>Life at Doctolib Tech</strong></h2> <ul> <li>Our solutions are built on a single fully cloud-native platform that supports web and mobile app interfaces, multiple languages, and is adapted to country and healthcare specialty requirements.</li> <li>Our stack is composed of Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native.</li> <li>We leverage AI ethically across our products to empower patients and health professionals. Discover our AI vision<a href="https://careers.doctolib.com/ai-careers/"> here</a>.</li> </ul> <p><em>Want to learn more about our tech culture and environment? Visit the</em><a href="https://careers.doctolib.com/tech-doctolib/"> <em>Doctolib Tech site</em></a><em>.</em></p> <h2><strong>What you'll bring</strong></h2> <p>Before 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.</p> <p>You'll be a great fit if you:</p> <ul> <li>You have at least 7+ years as an MLOps Engineer or ML Platform Engineer with proven production model lifecycle management experience</li> <li>You have expert-level experience with ML orchestration tools (MLflow, Braintrust, or similar) for batch processing and inference pipelines</li> <li>You have a strong Site Reliability Engineering (SRE) foundation with focus on operations excellence, reliability, and observability</li> <li>You have expertise in Python for automation and ML pipeline scripting</li> <li>You have strong proficiency with infrastructure-as-code tools such as Terraform and container orchestration (Kubernetes)</li> <li>You have experience with model evaluation frameworks and golden dataset management</li> <li>You have a solid understanding of cloud infrastructure (preferably GCP, AWS, or Azure)</li> <li>You have excellent problem-solving skills with focus on identifying and resolving infrastructure bottlenecks</li> <li>You are fluent in English</li> </ul> <p>It would be fantastic if you:</p> <ul> <li>Have production LLM or custom model deployment experience</li> <li>Have knowledge of data security and privacy frameworks (GDPR, data anonymization, pseudonymization)</li> <li>Have experience building and monitoring security services and threat detection systems</li> <li>Have strong communication and mentoring skills to drive knowledge transfer across teams</li> </ul> <h2><strong>What we offer</strong></h2> <ul> <li>Free comprehensive health insurance for you and your children</li> <li>25 days of paid vacation per year, plus up to 14 days of RTT</li> <li>Free mental health and coaching services through our partner Moka.care</li> <li>Work from abroad for up to 10 days per year thanks to our flexibility days policy</li> <li>Lunch vouchers (Swile card) worth €8.50 per working day, with €4.50 covered by Doctolib</li> <li>A subsidy from the work council to refund part of the membership to a sport club or a creative class</li> <li>50% reimbursement of your public transport subscription</li> <li>Parent…