Senior MLOps Engineer

About the role

The Senior MLOps Engineer will join the ML Platform team to build and scale the infrastructure that powers AI-driven solutions for healthcare. This role involves developing the platform and tooling necessary for the reliable deployment of machine learning models that improve the daily experience of care teams and patients across Europe.

Responsibilities

• 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

Required skills

• Python
• SQL
• Shell Scripting
• Terraform
• Docker
• AWS
• SageMaker
• EC2
• ECS
• S3
• CloudWatch
• Machine Learning
• Deep Learning
• PyTorch

Nice to have

• Kubernetes
• GitOps
• ArgoCD
• Kafka
• ML model quantization
• HuggingFace
• Transformers
• JavaScript
• TypeScript

Benefits

• Health insurance
• Paid vacation
• Mental health and coaching services
• Work from abroad policy
• Lunch vouchers
• Sports club subsidy
• Public transport reimbursement
• ParentCare Program
• Employee value sharing plan
• Relocation support

About the Company

Doctolib is a cloud-native platform supporting web and mobile app interfaces to improve access to healthcare. They leverage AI ethically across their products to empower patients and health professionals.