Found Description
Exp: 8 To 13 Yrs
- Processing and analyzing complex automotive sensor data to improve driving and parking functions.
- Deep understanding of sensors (Camera fundamentals, Radar, LiDAR, IMU, Thermal), strong calibration knowledge, and 3D geometry.
- Utilizing GCP services (BigQuery, Vertex AI, Dataflow, Cloud Run) to build robust data and ML pipelines for large-scale datasets.
- The ability to collaborate with development teams to ensure smooth, efficient, and high-quality software delivery.
Responsibilities
- Develop, train, and deploy ML models (classification, regression, clustering) for vehicle behavior analysis and sensor error detection.
- Perform advanced data analysis on multi-modal sensor data (Camera, LiDAR, Radar, IMU, Thermal) using Python, Pandas, and Scikit-learn.
- Build and maintain scalable data and ML pipelines on GCP (e.g., BigQuery, Vert...