Lead AI/ML Engineer

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

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

Location: Gothenburg

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
• Data Quality & Data Lineage
• 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.

We are looking only for local candidates from Sweden