Application Operations Engineer

YOUR IMPACT We are looking for a Senior MLOps Engineer to join the Panda Team (Data & ML Operations) in Data & AI Platform team. 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. Working in the tech team at Doctolib means building innovative products and features to improve the daily lives of care teams and patients. WHAT YOU'LL BUILD Your responsibilities include but are not limited to: * Design and implement end-to-end ML model pipelines in production (LLM and custom models) with robust deployment, evaluation, and monitoring frameworks * Own data pseudo-anonymization architecture within ingestion services, converting Tier 0 (personal identifiers) to Tier 1 (anonymized data) while ensuring data quality and model performance * 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 * Manage golden datasets and implement production model evaluation frameworks to ensure anonymization quality and system reliability * Build and maintain data pipelines that efficiently extract, transform, and load data from various sources, handling multiple data formats (text, images, audio, video) * Implement automation and orchestration tools using ML orchestration platforms (MLflow, Braintrust, or similar) to streamline infrastructure provisioning and reduce manual effort * Monitor data and ML platforms for performance, reliability, and security; identify and troubleshoot issues proactively * Mentor team members on MLOps expertise and best practices to reduce knowledge silos and build organizational capability LIFE AT DOCTOLIB TECH * 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. * Our stack is composed of Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native. * We leverage AI ethically across our products to empower patients and health professionals. Discover our AI vision here. Want to learn more about our tech culture and environment? Visit the Doctolib Tech site. WHAT YOU'LL BRING 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. You'll be a great fit if you: * You have at least 7+ years as an MLOps Engineer or ML Platform Engineer with proven production model lifecycle management experience * You have expert-level experience with ML orchestration tools (MLflow, Braintrust, or similar) for batch processing and inference pipelines * You have a strong Site Reliability Engineering (SRE) foundation with focus on operations excellence, reliability, and observability * You have expertise in Python for automation and ML pipeline scripting * You have strong proficiency with infrastructure-as-code tools such as Terraform and container orchestration (Kubernetes) * You have experience with model evaluation frameworks and golden dataset management * You have a solid understanding of cloud infrastructure (preferably GCP, AWS, or Azure) * You have excellent problem-solving skills with focus on identifying and resolving infrastructure bottlenecks * You are fluent in English It would be fantastic if you: * Have production LLM or custom model deployment experience * Have knowledge of data security and privacy frameworks (GDPR, data anonymization, pseudonymization) * Have experience building and monitoring security services and threat detection systems * Have strong communication and mentoring skills to drive knowledge transfer across teams WHAT WE OFFER * Free comprehensive health insurance for you and your children * 25 days of paid vacation per year, plus up to 14 days of RTT * Free mental health and coaching services through our partner Moka.care * Work from abroad for up to 10 days per year thanks to our flexibility days policy * Lunch vouchers (Swile card) worth €8.50 per working day, with €4.50 covered by Doctolib * A subsidy from the work council to refund part of the membership to a sport club or a creative class * 50% reimbursement of your public transport subscription * Parent Care Program: receive one additional month of leave on top of the legal parental leave * For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support * Relocation support in case of international mobility * Access to the best AI tools for coding, development and dedicated training OUR INTERVIEW PROCESS * Recruiter Interview * Technical Case Study Interview  * System Design Interview  * Behavioral Interview * At least one reference check We want your experience to be clear, respectful, and transparent. Learn more about our hiring process on our candidate experience page. JOB DETAILS * Permanent position (CDI) * Tech stack: Python * Full-time * Nantes & Paris (Hybrid Policy: 2 days remote / week) * Start date: as soon as possible WE WELCOME EVERYONE 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, or 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! YOUR DATA PRIVACY All information provided is processed by Doctolib for application management. For data processing details, click here: France. Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights.

Outsight’s software solutions track the motion of people and vehicles using 3D LiDAR data. Operators of transportation hubs like airports and train stations but also sport venues, road infrastructures and industrial sites can now access accurate and anonymous Spatial Intelligence data, in order to improve operations and increase user safety and satisfaction.   Our international team of scientists and engineers drive the development of our solutions from Paris, San Francisco, Sophia-Antipolis (Nice), Singapore & Hong Kong. To support our global outreach, we also operate a commercial office in Spain.   You can find below an interesting link about who we are and what we do : Insights about Outsight   Our Passenger Flow Traffic Monitoring solution is trusted by the world’s leading airports and train stations across four continents, including the most renowned hubs celebrated for their operational excellence and exceptional passenger experience.  We also deploy our solutions in other markets such as Tourism, Retail and Sports.   Additionally, our Car Traffic Remote Monitoring product is trusted by several Tier 1 customers, including BMW.   Context   We are looking for an experienced frontend engineer to redefine how humans interact with live spatial tracking. This engineer will translate abstract real-time coordinates, semantic timelines, and conversational agent feedback into beautiful, accessible web applications.   Responsibilities   Develop responsive web experiences displaying intricate spatial layouts, streaming event lists, and multi-tenant telemetry dashboards. Build modular, real-time chatbot components and rich-text messaging UI components that expose backend AI agent steps transparently. Ensure rigid web application performance metrics, smooth rendering profiles under heavy live-data traffic, and clean state handling. Provide close technical mentorship and guidance to incoming Frontend Interns joining the team. Requirements for the role Agentic Workflow & Productivity Edge: Proven track record of designing generative UI experiences where components fluidly adapt based on structural payload returns from AI agents. Must showcase high productivity using modern terminal/IDE augmentations to prototype complex frontend views at exceptional speed.   Why join us?   Be part of the team pioneering Spatial Intelligence solutions at unprecedented scale—the breakthrough technology transforming how the world’s most prestigious airports, infrastructure operators, and smart cities understand and optimize physical flows.   As a 7-time Gartner-recognized category-defining leader with dozens of global awards including “Edge AI Product of the Year,” “LiDAR Leader Award,” “CES Best of Innovation” and many more, we’re backed by 37 patents and deployments with the most prestigious (and challenging) customers across four continents.   Join our international team of world-class experienced engineers and business leaders solving humanity’s most complex spatial challenges, from passenger flow optimization to autonomous robotics coordination, while working at the cutting edge of 3D AI, LiDAR perception, and real-time analytics.   Supported by rock-solid investors including BNP Paribas, BPI France, Energy Innovation Capital and Demeter who back our long-term vision, this is your opportunity to shape how physical and digital worlds interact, with the resources, growth trajectory, and technical challenges that will accelerate your career in ways traditional companies cannot offer.   Outsight is an Equal Employment Opportunity employer that pursues and hires a diverse workforce. Outsighters don't make employment decisions on the basis of race, color, religion, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military status, or any other basis protected by local, state, or federal laws. Outsight also strives for a healthy and safe workplace, and prohibits harassment of any kind. If you have a disability or special need that requires accommodation, please let us know.