ML Data Engineer

About the role

This role owns the data foundation of perception systems, directly influencing model performance in real-world environments. You will set the technical direction for collecting, curating, and continuously improving datasets for object detection while partnering with ML, perception, and robotics teams. You will take full ownership of the ML data lifecycle, from architecture decisions on ingestion and pipelines to labeling strategy and metrics-informed dataset improvement.

Responsibilities

• Architect and own scalable pipelines for ingesting, organizing, and preprocessing large volumes of time-series camera and multi-sensor data.
• Drive the strategy behind object detection datasets, ensuring quality, diversity, and statistical representativeness at scale.
• Design and operate active learning loops that connect model performance directly to data selection and improvement priorities.
• Own labeling workflows end-to-end, including tooling decisions, QA methodology, and consistency standards.
• Partner with AI Engineers to diagnose model weaknesses and translate findings into concrete dataset strategy.
• Plan and lead data collection campaigns to close gaps with high-value real-world data.
• Build internal tools and dashboards to provide visibility into dataset quality and performance gaps.

Required skills

• Python
• Pandas
• NumPy
• ETL/ELT
• Data Orchestration
• Object Detection
• Computer Vision
• Data Lifecycle Management
• CVAT
• SQL
• NoSQL

Nice to have

• AWS S3
• MinIO
• ClearML
• MLFlow
• Weights & Biases
• ROS
• Docker
• Embedded ML

Qualifications

• 5+ years of hands-on experience in Python and data processing frameworks
• Proven track record building and owning ETL/ELT pipelines for large-scale video and sensor datasets
• NATO-aligned nationality or close ally citizenship

Benefits

• International, agile team environment
• Steep learning curve
• Continuous development
• Team events

About the Company

autonomous-teaming is an ambitious engineering team creating the future of autonomous systems and AI-driven defense.