Senior ML Ops (x/f/m)

Description

Set a new pulse for healthcare!

We are looking for a Senior MLOps Engineer to join the ML Platform team.

Your mission will be to build and scale the infrastructure that brings machine learning to life at Doctolib — powering AI-driven solutions that improve the daily experience of care teams and patients across Europe. You will work in a cross-functional team developing the ML platform and tooling that underpins Doctolib's AI products, contributing directly to faster, more reliable deployment of models that have a real impact on healthcare delivery.

Working in the tech team at Doctolib means building innovative products and features to improve the daily lives of care teams and patients.

Responsibilities

• Your responsibilities include but are not limited to:
• Build and deploy production-grade machine learning models in close collaboration with data scientists and engineers, ensuring performance, scalability, and reliability
• Design and maintain the MLOps pipeline, including version control, CI/CD, and monitoring of ML models in production
• Develop tools, frameworks, and best practices to streamline the model development and deployment lifecycle
• Ensure the availability and performance of ML systems, proactively identifying and resolving issues before they impact users
• Partner with cross-functional teams to gather requirements, provide technical guidance, and contribute to the development of end-to-end ML solutions
• Share and advocate MLOps knowledge across the tech community, documenting processes, standards, and best practices to drive consistency and knowledge transfer

Requirements

• 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:
• Are proficient in Python, SQL, Shell Scripting, and Terraform, with hands-on experience building and containerizing ML pipelines with Docker
• Have solid knowledge of cloud platforms, particularly AWS services such as SageMaker, EC2, ECS, S3, and CloudWatch (and/or Azure equivalents)
• Have a good understanding of machine learning algorithms, concepts, and trends, including hands-on experience with Deep Learning frameworks — preferably PyTorch
• Have excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams and produce clear technical documentation
• Have a strong team spirit, a genuine enthusiasm for learning, and a proactive sense of initiative
• Are fluent in English
• It would be fantastic if you:
• Have experience with Kubernetes, GitOps tools (e.g. ArgoCD), and/or Kafka
• Have experience with ML model quantization, optimization, and HuggingFace technologies (Transformers, Accelerate, PEFT)
• Have experience with JavaScript/TypeScript and browser-based model deployment (transformers.js / langchain.js)
• 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 .

Benefits

• Free comprehensive health insurance (basic package) 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
• ParentCare Program: Enjoy full salary coverage (100%) during your first month of birth leave and 75% during the second, covered by Doctolib
• Enrollment in Doctolib's long-term employee value sharing plan called DoctoGrowth
• 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