Công ty Cổ phần Công nghệ Tài chính Goline
Loại hình
Full-time
Vị trí/chức vụ
Nhân Viên/Chuyên Viên
Yêu cầu bằng cấp(tối thiểu)
Trung cấp - Nghề
Yêu cầu kinh nghiệm
Không yêu cầu
Ngày đăng tuyển
15/04/2025
Yêu cầu giới tính
N/A
Địa điểm làm việc
- Tầng 8, Tòa nhà Kim Ánh, số 78 Duy Tân,Hà Nội
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We are looking for a passionate AI Junior Engineer to join our dynamic team at the intersection of AI and algorithmic trading. You will contribute to building robust pipelines, researching advanced ML models, and driving innovation in predictive modeling for financial markets.
What you’ll be doing:
● Develop, train, and deploy AI/ML models to enhance algorithmic trading strategies.
● Implement scalable data pipelines to collect, clean, and process large-scale financial datasets (OHLCV, Order Book, Trade data).
● Design and optimize real-time and batch AI model training/inference pipelines.
● Set up and maintain ML infrastructure using tools like Airflow for workflow orchestration and MLflow for experiment tracking and model versioning.
● Collaborate with quant researchers and data engineers to refine models and improve system performance.
● Conduct research on time-series modeling, deep learning, and NLP-based sentiment analysis.
● Deploy models on on-premise infrastructure with attention to latency and reliability.
● Stay updated with cutting-edge research in AI, machine learning, and quantitative finance.
● Solid understanding of data structures, algorithms, and software design principles.
● Proficiency in Python and familiarity with Linux-based environments.
● Strong foundation in mathematics, including probability, statistics, and linear algebra.
● Practical knowledge of ML frameworks such as PyTorch, TensorFlow, or Scikit-learn.
● Ability to understand and implement insights from English-language technical papers.
● Experience (1+ year) with:
○ Time-series modeling for financial data.
○ Feature engineering to enhance model accuracy.
○ NLP techniques for sentiment analysis and entity extraction.
○ Workflow tools like Airflow and MLflow for MLOps.
Preferred Skills (Nice to Have)
● Exposure to quantitative finance and trading algorithms.
● Familiarity with backtesting frameworks and simulation tools.
● Experience working with financial databases (e.g., Bloomberg, Quandl, Alpha Vantage).
● Knowledge of SQL and Docker for containerized deployment.
● Mentorship from top AI and financial industry experts.
● Access to cutting-edge technology and resources for AI model training and deployment.
● State-of-the-art equipment provided for work.
● Team-building activities (monthly and quarterly) and an annual company summer trip.
● A professional, creative, and dynamic working environment.
● Flexible work schedule with a 5-day workweek (Monday – Friday).
● Competitive salary (to be discussed during the interview).
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Thỏa thuận
Thỏa thuận
Thỏa thuận
20 - 35 triệu VNĐ
30 - 35 triệu VNĐ
Đến 35 triệu VNĐ
Đến 35 triệu VNĐ
Thỏa thuận
Thỏa thuận
30 - 50 triệu VNĐ
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