Beschreibung

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Firma: VINFAST

UNTERNEHMENS-ID: 14397297
Stellenausschreibungs-URL: https://de.linkedin.com/jobs/view/expert-data-and-ml-pipeline-automation-engineer-self-driving-at-vinfast-4366550038?position=5&pageNum=12&refId=IK9ZecGD0RPiWwUTq9T5fg%3D%3D&trackingId=ZNIjifJMurCrtFDWOineEg%3D%3D

Karrierestufe

Management

Beschäftigungsverhältnis

Vollzeit

Tätigkeitsbereich

IT

Branchen

Automobil
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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, y ou will be responsible for building scalable, searchable, and version-controlled data infrastructure that em powers machine learning pipelines for autonomous driving systems. Y our work will facilitate model training and contribute to achieving high level of performance and generalization of our advanced ML models .

Design and implement data lake s as a flexible and scalable storage of sensor data

Build scalable pipelines for indexing raw and extracted sensor data

Develop searchable database s 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 ( s emi – a utomatic , 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

C omfortable in building data processing pipelines tailored for ML training pipelines

K nowledge of (at least one) of the Parquet, Pandas, Spark frameworks

Solid understanding of the main sensor modalities for self-driving ( cameras, L i DAR, 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

Benefits

Competitive salary

Opportunity to collaborate with and learn from industry-leading professionals in the automotive domain.

With respect to all your personal data shared to VinFast in the application and the entire recruitment process of VinFast, by clicking “Apply”, submitting your resumé/CV and/or participating in VinFast’s recruitment process, you agree that you have read VinFast’s Personal Data Protection Policy (“Policy”) posted at https://vinfastauto.com/vn_vi/dieu-khoan-phap-ly or https://vinfast.vn/privacy-policy/ , you agree to the Policy and consent for VinFast to process your personal data in accordance with the Policy and the applicable regulations on personal data protection.

To all recruitment agencies: VinFast does not accept agency resumes. Please do not forward resumes to our careers alias or other VinFast employees. VinFast is not responsible for any fees related to unsolicited resumes.