Lead AI/ML Engineer – Time-Series & Automotive Analytics

HCLTech; Göteborgs kommun; On-site; SEK 1,100,000 - 1,700,000; Full time

Job summary

HCLTech is seeking a Lead AI/ML Engineer in Gothenburg to develop scalable machine learning solutions for automotive and engineering data, focusing on time-series analytics, signal processing, anomaly detection, and behavioral modeling from TB-scale measurements.

You will build data pipelines for MDF4, ASAM and DLT formats, design feature extraction and preprocessing, and collaborate with data architects and domain experts to deliver production-ready AI systems.

Qualifications

• 8+ years of experience in AI/ML, data engineering and analytics.
• Strong time-series analytics and signal processing skills.
• Experience with MDF4, ASAM, and DLT data formats.
• Proficient in Python and PySpark.
• Familiarity with MLOps, deployment and monitoring.

Responsibilities

• Develop AI/ML solutions for large-scale time-series and vehicle data.
• Build data pipelines for MDF4, ASAM and DLT data at TB scale.
• Design feature extraction, signal alignment and preprocessing frameworks.
• Develop models for pattern recognition, anomaly detection and clustering.
• Ensure data quality, lineage and governance across workflows.
• Collaborate with data engineers, architects and domain experts.

Skills

AI/ML

Python

PySpark

Time-Series

Feature Engineering

Signal Processing

Pattern Recognition

Anomaly Detection

Data Quality

Automotive Data

Tools

Spark

Databricks

Job description

HCLTech is seeking a Lead AI/ML Engineer in Gothenburg to develop scalable machine learning solutions for automotive and engineering data, focusing on time-series analytics, signal processing, anomaly detection, and behavioral modeling from TB-scale measurements.

You will build data pipelines for MDF4, ASAM and DLT formats, design feature extraction and preprocessing, and collaborate with data architects and domain experts to deliver production-ready AI systems.