Expert Data and ML Pipeline Automation Engineer - Self Driving

VinFast; Frankfurt; Vor Ort; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A leading electric vehicle company based in Frankfurt is looking for an Expert Data and ML Pipeline Automation Engineer to build scalable infrastructure that supports machine learning pipelines for self-driving technologies. The ideal candidate has a Master's or Bachelor's degree in Computer Science, with at least 5 years of relevant experience, particularly in developing data processing pipelines tailored for ML training. Strong Python skills and familiarity with data frameworks like Parquet and Pandas are essential for this role, which offers an exciting opportunity to work in a dynamic team focused on innovation.

Qualifikationen

• 5+ years of experience in Computer Science, Machine Learning, or Robotics.
• Strong proficiency in Python and software engineering.
• Ability to build customized data processing pipelines.

Aufgaben

• Build scalable, version-controlled data infrastructure for ML pipelines.
• Design and implement data lakes for sensor data storage.
• Integrate labeling workflows into a data loop.

Kenntnisse

Python

Software engineering

Data processing pipelines

Machine Learning techniques

ETL processes

Multi-modal data handling

Ausbildung

MSc/BSc in Computer Science or related field

Tools

Parquet

Pandas

Spark

Cloud orchestration tools

Jobbeschreibung

Expert Data and ML Pipeline Automation Engineer - Self Driving

Frankfurt am Main, Germany | Posted on 11/06/2025

VINFAST is a pioneering electric vehicle (EV) company committed to revolutionizing the automotive industry with sustainable and innovative mobility solutions. As a leading player in the EV market, VinFast is dedicated to delivering high-quality, cutting‑edge electric vehicles that redefine the driving experience. Our team consists of passionate professionals driven by a shared vision of creating a greener and more sustainable future through innovation, technology, and excellence.

In this role, you will be responsible for building scalable, searchable, and version‑controlled data infrastructure that empowers machine learning pipelines for autonomous driving systems. Your work will facilitate model training and contribute to achieving a high level of performance and generalization of our advanced ML models.

• Design and implement data lakes as a flexible and scalable storage of sensor data
• Build scalable pipelines for indexing raw and extracted sensor data
• Develop searchable databases for efficient information retrieval
• Implement robust ETL pipelines to extract, transform, and load data into a structured data warehouse
• Establish automated systems for data validation and quality assurance for large multi‑modal datasets
• Build tools for indexing and version control of extracted sensor data
• Integrate labeling workflows into a data loop (semi‑automatic, active learning, crowdsourcing, etc.)
• Collaborate with algorithm and software engineering teams to ensure data integrity, traceability, and reproducibility

Requirements

• MSc/BSc degree with 5+ years of industrial experience in Computer Science, Machine Learning, Robotics and/or similar technical field
• Proficiency in Python and strong software engineering skills
• Comfortable in building data processing pipelines tailored for ML training pipelines
• Knowledge of (at least one) of the Parquet, Pandas, Spark frameworks
• Solid understanding of the main sensor modalities for self-driving (cameras, LiDAR, radar, GPS)
• Experience with establishing dataset version control
• Familiarity with cloud job orchestration, monitoring, and instrumentation best‑practices
• Ability to solve hard problems and handle large amounts of heterogeneous data
• Opportunity to collaborate with and learn from industry‑leading professionals in the automotive domain.