Founding MLOps Engineer — Neural Data Platform

Noïa Labs; Paris; On-site; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Equity package

Full health coverage

100% reimbursement of public transport

Meal vouchers

New MacBook Pro

RTT

Job summary

Noïa Labs in Paris is seeking a talented MLOps / Data Platform Engineer to build the data and ML infrastructure behind our non-invasive neural interface. You will own systems that ingest, version, and serve large-scale neural data, making model training fast, reproducible, and scalable from dataset construction to deployment.

This hands-on role spans data pipelines, ML workflows, compute infrastructure, experiment tracking, model deployment, and internal tooling, collaborating with ML engineers,

Qualifications

• 5+ years of experience building production-grade MLOps and data infrastructure.
• Strong software engineering experience, especially in Python.
• Experience with cloud infrastructure, containers, CI/CD, and production systems.
• Experience supporting GPU workloads or distributed training.
• Experience with ML tooling for training, evaluation, tracking, or deployment.
• Strong understanding of data quality, monitoring, versioning, and reproducibility.
• Strong ownership, practical problem-solving skills, and attention to detail.

Responsibilities

• Build and maintain the platform for neural data ingestion, processing, storage, and retrieval.
• Develop pipelines for dataset generation, training, evaluation, and deployment.
• Create tools that help ML engineers and scientists find data, run experiments, compare models, and reproduce results.
• Manage cloud and GPU compute for scalable ML workloads.
• Improve data quality, metadata, versioning, monitoring, and traceability.
• Work with software and ML teams to integrate models into the platform.
• Help define standards for reliability, reproducibility, privacy, and security.

Skills

Python

MLOps

Data infrastructure

Cloud computing

CI/CD

GPU workloads

Tools

AWS

GCP

Docker

Kubernetes

Job description

Noïa Labs in Paris is seeking a talented MLOps / Data Platform Engineer to build the data and ML infrastructure behind our non-invasive neural interface. You will own systems that ingest, version, and serve large-scale neural data, making model training fast, reproducible, and scalable from dataset construction to deployment.

This hands-on role spans data pipelines, ML workflows, compute infrastructure, experiment tracking, model deployment, and internal tooling, collaborating with ML engineers,