Data & AI Engineer Automotive
Core
Develop AI/ML components and data-processing pipelines to analyze vehicle measurement data, reconstruct tests, and generate fault reports for automotive software verification.
Role type
Junior IC data & AI engineer (automotive)
Builds
AI-based Measurement Analytics Tool for vehicle testing
Domain
Automotive software verification + AI/ML
Deliverable
production ML models | product features
Required skills
Python, Pandas, NumPy, Matplotlib, Computer Vision, OpenCV, Image Classification, Object Detection, TensorFlow, Pytorch, Tableau, Generative AI, LLMs, prompt engineering, time-series analysis, classification, clustering, anomaly detection
Preferred skills
Git/version control
Technologies
Python, Pandas, NumPy, Matplotlib, OpenCV, TensorFlow, Pytorch, Tableau
Responsibilities
Develop and test AI/ML components and data-processing pipelines for automotive measurement data; Parse, clean, structure, and analyze numerical telemetry, vehicle signals, and diagnostic logs; Implement and evaluate basic analytical models including time-series analysis, classification, clustering, and anomaly detection; Assist with developing and testing AI/LLM-based assistants including prompt engineering; Analyze historical vehicle usage data to identify patterns and support the generation of representative/synthetic user journeys; Write clean, maintainable, and well-documented Python code for data processing, analytics, and automation; Assist in developing simple APIs and web-based interfaces to expose data analytics and AI capabilities; Document technical solutions, analysis results, experiments, and developed components.
Seniority
Junior, recent graduate or early-career