Machine learning Data Engineering

Listed as a remote role based in Greater Gothenburg Metropolitan Area. Role Summary We are seeking a highly skilled Lead AI/ML Engineer to develop scalable machine learning solutions for large-scale automotive and engineering data. The role focuses on time-series analytics, signal processing, anomaly detection, behavioral modeling, and AI-driven insights from TB-scale measurement data. Key Responsibilities Develop AI/ML solutions for large-scale time-series and vehicle measurement data. Build data pipelines for MDF4, ASAM, and DLT data parsing and processing at TB scale. Design and implement feature extraction, signal alignment, resampling, and preprocessing frameworks. Develop machine learning models for pattern recognition, anomaly detection, clustering, and behavioral segmentation . Apply supervised and unsupervised learning techniques to complex engineering datasets. Optimize model performance through precision/recall tuning and validation against sparse ground truth data. Ensure data quality, lineage, traceability, and governance across AI/ML workflows. Work closely with data architects, software engineers, and domain experts to deliver production-ready solutions. Required Skills Machine Learning & Artificial Intelligence Python, PySpark Time-Series Analytics Feature Engineering & Signal Processing Pattern Recognition & Template Matching Anomaly Detection Clustering & Behavioral Segmentation Supervised & Unsupervised Learning Data Quality & Data Lineage Large-Scale Data Processing (TB+ datasets) Automotive Measurement Data Analysis Show more Show less Seniority level Mid-Senior level Employment type Contract Job function Other Industries IT Services and IT Consulting, Technology, Information and Media, and Automation Machinery Manufacturing