Description
Your Impact
What you'll do
- Design, build, and maintain scalable data pipelines on Google Cloud Platform (GCP) for AI and machine learning use cases
- Implement data ingestion and transformation frameworks that power Retrieval systems and training datasets for LLMs and multimodal models
- Architect and manage NoSQL and Vector Databases to store and retrieve embeddings, documents, and model inputs efficiently
- Collaborate with ML and platform teams to define data schemas, partitioning strategies, and governance rules that ensure privacy, scalability, and reliability
- Integrate unstructured and structured data sources (text, speech, image, documents, metadata) into unified data models ready for AI consumption
- Optimize performance and cost of data pipelines using GCP native services (BigQuery, Dataflow, Pub/Sub, Cloud Storage, Vertex AI)
- Contribute to data quality and lineage frameworks, ensuring AI models are trained on validated, auditable, and compliant datasets
- Continuously evaluate and improve our data stack to accelerate AI experimentation and deployment
Who you are
- You have 5+ years of experience in Data Engineering, ideally supporting AI or ML workloads
- You have strong experience with the GCP data ecosystem and proficiency in Python and SQL
- You have deep understanding of NoSQL systems (e.g., MongoDB) and vector databases (e.g., FAISS, Vector Search)
- You have experience designing data architectures for RAG, embeddings, or model training pipelines
- You have knowledge of data governance, security, and compliance for sensitive or regulated data
- You are fluent in English
- You hold a Master's or Ph.D. degree in Computer Science, Data Engineering, or a related field
- You have familiarity with W&B / MLflow / Braintrust / DVC for experiment tracking and dataset versioning
- You have experience with containerized environments (Docker, Kubernetes) and CI/CD for data workflows
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.
What we offer
- 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
- Parent Care Program: receive one additional month of leave on top of the legal parental leave
- 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
Our interview process
- Recruiter Interview
- Technical Deep Dive
- System Design Interview
- Behavioral Interview
- At least one reference check
Job details
- Permanent position
- Tech stack: GCP, Python, SQL, NoSQL, Vector Databases, AI/ML
- Full-time
- Paris, France
- Hybrid work setup (up to 2 remote days per week)
- Start date: as soon as possible
We welcome everyone
Your data privacy
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