TRÁCH NHIỆM CÔNG VIỆC Tiếp nhận, phân tích và chuyển đổi nhu cầu nghiệp vụ thành các bài toán dữ liệu; phối hợp với Data Engineer/IT và các đơn vị liên quan triển khai. Khai thác,
Job Description: Participate in the development of neural network, machine learning, NLP, and big data technologies for company products such as chatbots, search engines, and data analysis systems. Collect, clean, and prepare large-scale datasets for training
NVIDIA is widely recognized as one of the world’s most desirable employers, leading groundbreaking innovation in Artificial Intelligence (AI), High-Performance Computing (HPC), and Visualization. Our technologies, including the GPU, have transformed industries—from AI Inferencing and AI
NVIDIA is widely recognized as one of the world’s most desirable employers, leading groundbreaking innovation in Artificial Intelligence (AI), High-Performance Computing (HPC), and Visualization. Our technologies, including the GPU, have transformed industries—from AI Inferencing and AI
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 VinFasts recruitment process, you agree that you
Role Overview We are seeking a Senior/Lead Platform Engineer who will take ownership of the design, implementation and operation of our core data, analytics and ML infrastructure. This role spans across platform architecture, DevSecOps, DataOps, and
Recruitment Background & Expected Role CADDi is on a mission to Unleash the potential of manufacturing. We operate CADDi DRAWER, a cloud-based system that supports digital transformation centered on the use of drawings, which are the
GoTymeX is building some of worlds fastest growing digital banks and the data team plays a key role in driving the bank’s vision of creating a platform that stimulates economic participation and facilitates broader financial inclusion
Mô tả công việc: Nôi dung công việc Data Pipeline Development Design, build, and maintain scalable data pipelines and ETL processes to support various business needs Develop and optimize data architecture and data models to ensure