Expert Data and ML Pipeline Automation Engineer - Self Driving

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.

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