Responsibilities
Provide technical support for global researchers, including diagnosing root causes of technical issues, troubleshooting Python and C++ code, and proposing scalable fixes and improvements.
Investigate, debug, and resolve issues in C++ applications and data pipelines, with a strong focus on performance, stability, correctness, and maintainability.
Explore and apply AI/LLM-based solutions to improve data processing, workflow efficiency, troubleshooting, documentation, and research support processes.
Enrich a wide range of structured and unstructured data into high-quality datasets for quantitative analysis and financial engineering.
Enhance data quality and integrity by developing validation tools and frameworks to measure the effectiveness of data enrichment pipelines.
Develop a deep understanding of machine learning, deep learning, and emerging AI/LLM applications, and analyze the underlying dynamics and behaviors within the data.
Generate insights from large-scale datasets and collaborate with research teams to identify opportunities for tradable signals.
Design and develop utility tools to automate software development, testing, deployment, and monitoring workflows.
Requirements
Minimum 4+ years of hands-on experience in software engineering, data engineering, machine learning, AI, or related technical domains.
Practical experience with, and theoretical understanding of, deep neural networks, machine learning techniques, and modern AI approaches.
Demonstrated ability to implement data science pipelines and real-time applications in Python and C++.
Strong experience in debugging, troubleshooting, and improving C++ code, including performance analysis, root cause investigation, and code maintainability.
Familiarity with AI/LLM tools and applications, including using large language models to support analysis, automation, technical troubleshooting, or workflow optimization.
Proficiency with Python-based tools such as Jupyter Notebook and coding standards such as PEP 8.
Proficiency with C++ tools and concepts such as STL, object-oriented programming, and debugging best practices.
Strong academic background, with a minimum of a bachelor's degree in a technical or quantitative field.
Benefits
Working location: Trung My Tay Ward (District 12), HCMC
Salary range: Up to VND 70,000,000 gross
Thông tin chung
- Thu nhập: range Up to VND 70,000,000