3 hours ago
Paris, FranceSenior
Responsibilities
- Build and deploy production-grade machine-learning models in collaboration with data scientists and engineers.
- Design and maintain MLOps pipelines, including model version control, deployment automation, and production monitoring.
- Develop tools, frameworks, documentation, standards, and best practices for the model development and deployment lifecycle.
- Ensure the availability, performance, scalability, and reliability of production ML systems and resolve issues proactively.
- Partner with cross-functional teams to gather requirements, provide technical guidance, and develop end-to-end ML solutions.
- Share MLOps knowledge across the technology organization and promote consistent practices.
Requirements
- Proficiency in Python, SQL, Shell Scripting, and Terraform, with hands-on experience building and containerizing ML pipelines with Docker.
- Knowledge of cloud platforms, particularly AWS services including SageMaker, EC2, ECS, S3, and CloudWatch, or equivalent Azure services.
- Understanding of machine-learning algorithms, concepts, and trends, with hands-on experience using deep-learning frameworks, preferably PyTorch.
- Strong communication, collaboration, technical documentation, learning, and initiative skills.
- Fluency in English.
- Experience with Kubernetes, GitOps tools such as ArgoCD, and/or Kafka is preferred.
- Experience with ML model quantization and optimization, HuggingFace Transformers, Accelerate, and PEFT is preferred.
- Experience with JavaScript or TypeScript and browser-based model deployment using transformers.js or langchain.js is preferred.
Benefits
- Free comprehensive health insurance for the employee and children.
- 25 days of paid vacation plus up to 14 days of RTT.
- Free mental health and coaching services through Moka.care.
- Ability to work from abroad for up to 10 days per year.
- Lunch vouchers worth €8.50 per working day, with €4.50 covered by Doctolib.
- Work-council subsidy toward a sports club or creative class membership.
- 50% reimbursement of public transport subscription costs.
- Enhanced birth-leave salary coverage through the ParentCare Program.
- Enrollment in Doctolib’s DoctoGrowth long-term employee value-sharing plan.
- Support package for caregivers and workers with disabilities, including remote-policy adaptations, additional medical leave days, and psychological support.
- Relocation support for international mobility.
- Access to AI coding tools, development resources, and dedicated training.
- Permanent, full-time position in Paris, France, with a hybrid setup of up to two remote days per week and an ASAP start date.
Tech Stack
Apache KafkaAWSAzureDockerJavaJavaScriptKotlinKubernetesPythonPyTorchReact NativeRuby on RailsSQLSwiftTerraformTypeScript
Categories
About Doctolib
Doctolib builds a digital healthcare platform for patients and medical professionals, combining online appointment booking, teleconsultations, and practice-management software. It monetizes via SaaS subscriptions to healthcare providers, while access for patients is free. Founded in 2013 and headquartered in Levallois‑Perret, the privately held company operates across France, Germany, Italy, and the Netherlands and is certified as a B Corp.