Senior AI/ML Data Engineer
Core
Design and implement scalable data pipelines and cloud data platforms to support AI/ML model development for autonomous driving systems.
Role type
Senior AI/ML Data Engineer
Builds
Cloud data platforms and ETL pipelines for embedded driver assistance and urban driving solutions
Domain
Automotive / Autonomous Driving / Big Data
Deliverable
production ML models
Required skills
Python (numpy, pandas, scikit-learn, TensorFlow/PyTorch), ETL pipeline design, CI/CD for ML, big data systems, database optimization, C++ or Rust, AWS or Azure production environments
Preferred skills
AWS infrastructure (EKS, IoT Core, Terraform), MLOps tools (Airflow, MLflow), robotic systems (perception, localization), urban driving edge cases, L2/L2+ ADAS experience, ISO 26262 awareness
Technologies
Python, TensorFlow, PyTorch, AWS, Azure, GitHub, Terraform, Airflow, MLflow, C++, Rust
Responsibilities
Design and implement ETL solutions for cloud data platforms, design and implement data quality metrics, implement data pipelines for data science initiatives, integrate data sources and optimize data flow, prepare data for AI/ML model development, document methodologies and outcomes
Seniority
Senior, hands-on IC