MLOps - Data Platform Engineer

About the Company

Noïa Labs is an early-stage neurotechnology company building the next generation of human-AI interfaces. We are decoding human intent directly from brain signals in real time to control and collaborate with AI systems, combining optimized neural sensors with large-scale AI models.

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 for ML engineers and scientists to find data, run experiments, 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

Requirements

• 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 and practical problem-solving skills

Preferred Qualifications

• Experience with time-series data (biosignals, sensor data, audio, video, or robotics)
• Experience with real-time streaming, edge buffering, or device-to-cloud synchronization
• Experience in health, medical device, regulated, or privacy-sensitive environments

Benefits

• Equity package
• Full health coverage (Alan)
• 100% reimbursement of public transport costs (Paris-based)
• Meal vouchers (€11/day, 60% company-funded)
• New MacBook Pro
• RTT (extra days off)