Nơi làm việc
- Hà Nội (Quận Đống Đa)
Cấp Bậc
- Nhân viên
Hình Thức
- Nhân viên chính thức
Bằng Cấp
- Đại học
Kinh Nghiệm
- 6 - 8 Năm
Mức Lương
- Cạnh Tranh
Ngành nghề
- Chứng khoán, CNTT - Phần mềm, Chuyên môn Nghiệp vụ, Khách hàng doanh nghiệp, Khách hàng doanh nghiệp lớn, Ngân hàng giao dịch, Ngân hàng, Thống kê, Tư vấn, Tài chính kế hoạch
Hạn chót nhận hồ Sơ
- 19/09/2025
Phúc Lợi
- Bảo hiểm
- Du Lịch
- Phụ cấp
- Đồng phục
- Thưởng
- Chăm sóc sức khỏe
- Đào tạo
- Tăng lương
- Phụ cấp thâm niên
- Chế độ nghỉ phép
- Chế độ tập thể dục
Mô tả công việc
1. Working with other centers/departments in EDA as well as Business Units to understand business problems so as to support them in better utilizing machine learning.
Managing and directing a team of machine learning engineers in applying data science and engineering techniques in packaging data analytic models developed by Data Science Office.
Managing and directing a team of machine learning engineers in developing and operating the MLOps platform.
Partner with data scientists to build and operate Feature stores.
Collaborate with relevant units to pull new data sources for AIC to facilitate developing new use-case.
Partner with data scientist to build criteria for validating machine learning model.
Develop deployment architecture for machine learning model, leverage on premise and cloud based big data platforms to refactor and optimize code for production.
Automate data and machine learning engineering processes.
Monitor model performance, business impact after deployment; support retrain to improve model quality.
Coach & train team members.
2. Conduct research and acquire new machine learning techniques
Conduct research on modern methods for machine learning and engineering.
Proactively analyze and utilize existing/new data sources to support more impactful analyses
3. Partner business units on advanced analytics-related problems
Working with other centers/departments in EDA as well as Business Units to understand business problems so as to support them in better utilizing machine learning
Training other EDA team members on machine learning
Yêu cầu công việc
Job requirements:
- Bachelor degree in Mathematics, Statistics, Engineering, Computer Science or other Quantitative discipline
- Min 6 years of solid experience in data science, machine learning or big data engineering.
- Experiences in deploying machine learning model to production
- Experience in working with cloud environment
- Experience in interpreting data and translate them into actionable insights, not just data extraction and reporting
- Advanced in SQL Server & Excel
- Proficiency in at least one programming language R/Python
- Proficiency in big data technologies, distributed computing, software and visualization development
- Data mining related fields area
- Predictive modelling related jobs
- Big data engineering and software development
- Leaderships & managing skills
What we offer:
- Attractive income, competitive salary and bonus according to ability
- Bonus on Holidays and New Year (according to banking policy from time to time)
- Get preferential loans according to the bank's policy from time to time
- Attractive leave mode according to job rank (12-18 paid leaves/year)
- Compulsory insurance according to labor law & VPBank care insurance for employees depending on rank and working time
- Participate in training courses depending on the Training Framework for each position
- Working time: Monday - Friday & Saturday morning (two Saturday mornings/month off)
- Dynamic, friendly working environment with many opportunities for training, learning and development; participate in many interesting cultural activities (sports event, talents, teambuilding activities...)
