Senior AI Data Engineer: Scalable ML Pipelines on GCP

Doctolib; Paris (TX); Hybrid; USD 79,000 - 125,000; Full time

Benefits offered by this job

Free comprehensive health insurance (+

25 vacation days per year

RTT days

Work from abroad up to 10 days

Lunch vouchers

Relocation support

Long-term employee value sharing plan

Disability support

Job summary

United States Digital Space LLC is seeking a Senior Data Engineer to join the AI Team in Paris. You will build and optimize data foundations powering AI models, enabling scalable, compliant data for training, evaluation, and deployment.

The role focuses on data pipelines, retrieval systems, embeddings, and model training pipelines within a GCP-based stack. Hybrid work with international scope, start as soon as possible.

Qualifications

• 7+ years of experience in Data Engineering, AI/ML workloads preferred.
• Strong experience with the GCP data ecosystem, Python, and SQL.
• Deep understanding of NoSQL systems (e.g., MongoDB) and vector databases (e.g., FAISS).
• Experience designing data architectures for RAG, embeddings, or model training pipelines.
• Knowledge of data governance, security, and compliance for sensitive data.
• Fluent in English.

Responsibilities

• Design, build, and maintain scalable data pipelines on GCP for AI/ML use cases.
• Implement data ingestion and transformation frameworks powering Retrieval and training datasets for LLMs and multimodal models.
• Architect and manage NoSQL and vector databases to store embeddings, documents, and model inputs.
• Collaborate with ML and platform teams to define data schemas, partitioning strategies, and governance rules.
• Integrate unstructured and structured data sources into unified data models for AI consumption.
• Optimize performance and cost of data pipelines using GCP services (BigQuery, Dataflow, Pub/Sub, Cloud Storage, Vertex AI).
• Contribute to data quality and lineage frameworks for auditable datasets.
• Continuously evaluate and improve data stack to accelerate experimentation and deployment.

Skills

GCP data ecosystem

Python

SQL

NoSQL databases

Vector databases

Data architectures

Data governance & security

English fluent

Education

Master's or PhD in CS / Data Eng

Bachelor's degree

Tools

MongoDB

FAISS

Docker

Kubernetes

Job description

United States Digital Space LLC is seeking a Senior Data Engineer to join the AI Team in Paris. You will build and optimize data foundations powering AI models, enabling scalable, compliant data for training, evaluation, and deployment.

The role focuses on data pipelines, retrieval systems, embeddings, and model training pipelines within a GCP-based stack. Hybrid work with international scope, start as soon as possible.