AI Engineer

evelop and deploy Machine Learning and Generative AI solutions to analyze customer behavior and financial market data.
Build AI-powered applications such as stock recommendation systems, financial chatbots, portfolio analysis tools, and market trend prediction models.
Research, evaluate, and apply modern AI technologies including LLMs, RAG, and AI Agents to enhance products and internal operations.
Collaborate with Data Engineers and cross-functional teams to integrate AI models into production systems.
Work with ETL pipelines, data warehouses, and AWS cloud services to support AI and data-driven applications.
Analyze trading, customer, and financial datasets to generate actionable insights for business and product development.
Continuously improve model performance, scalability, and deployment efficiency.

Yêu cầu công việc

achelor’s degree in Computer Science, Data Science, Artificial Intelligence, or related fields.
At least 1 year of experience in AI, Machine Learning, Data Science, or related areas.
Strong programming skills in Python and SQL.
Hands-on experience with Machine Learning frameworks such as Scikit-learn, TensorFlow, or PyTorch.
Basic understanding of LLMs, NLP, prompt engineering, and frameworks such as LangChain or similar tools.
Knowledge of finance, securities, banking, or market data is an advantage.
Strong analytical thinking, problem-solving, and communication skills.
Ability to work collaboratively in a fast-paced environment and learn new technologies quickly.
Good English skills.

Quyền lợi

ompetitive salary based on capabilities.
Salary review 1–2 times per year.
Lunch allowance, parking allowance, phone allowance, and other types of allowances depending on job position.
Annual health check-ups, 24/24 accident insurance (health insurance), and social insurance with 100% of the salary package. Private health insurance is provided by PJICO.
Opportunities to participate in professional and career skill training programs organized by the company.
Financial support for attending external training programs.
Participation in sports, entertainment, and travel activities such as team connection events, birthday celebrations, team-building, holiday gifts, etc., to promote health and strengthen employee engagement.
Year-end business performance bonus based on work results.
Leave policy:
12 days/year for staff-level positions.
15 days/year for managerial positions.