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WORK ABROAD| GLOBAL CAREERS | DIGITAL NOMADS- EUROPE Jobs| USA| CANADA| | Frannie

Borås, Västra Götaland County, Sweden (On-site), Sverige

  • På plats
  • Sverige
  • Engelska
  • Publicerad 10.09.26 10:08

Lead AI/ML Engineer

Experience: 8+ Years in AI/ML, Data Engineering, and Analytics

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

Domain Expertise

MDF4, ASAM, DLT data formats Vehicle and engineering measurement data Signal processing and telemetry analytics Volvo-side or automotive data access patterns Time-series modeling and sequence analytics

Preferred Qualifications

Experience with Spark, Databricks, or cloud-scale data platforms. Knowledge of automotive, connected vehicle, or embedded systems domains. Familiarity with MLOps, model deployment, and monitoring frameworks.

Skills: Machine Learning & Artificial Intelligence ? Python, PySpark ? Time-Series Analytics ? Feature Engineering & Signal Processing ? Pattern Recognition & Template Matching ? Anomaly Detection ? Clustering & Behavioral Segment

Posted by: Lauren & Jose HR Consultancy

Phone: +971 50 575 7096

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