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, Vertex AI) to handle automotive datasets. Apply model evaluation techniques (precision, recall, ROC, confusion matrix) to ensure robust performance. R...