VPBANK ★ 3.7

The job holder is responsible for building and operating MLOps framework for developing and deploying data analytics models as well as aplying machine learning engineering approaches and best practices to package data analytic models for deployment, in the form of software applications or APIs to be used by consumers to run the models.
VPBank is currently one of the fastest growing banks in Vietnam, providing a wide range of services and trusted by many customers. VPBank pays special attention to improving operational efficiency through data- driven activities.
Key accountabilities:

Working with other centers/departments in EDA as well as Business Units to understand business problems to support them in better utilizing machine learning.
Automate data and machine learning engineering processes.
Training other EDA team members on machine learning.
Support other centers/departments in providing predictive and prescriptive analyses when needed.
Partner with data scientists to build and operate Feature Store.
Develop deployment architecture for machine learning model, leverage on premise and cloud based big data platforms to refactor and optimize code for production.
Proactively analyze and utilize existing/new data sources to support more impactful analyses.
Support the validation of machine learning models.
Collaborate with relevant units to develop/acquire new data sources for AIC to facilitate developing new use- case.
Develop and operate components within the MLOps platform.
Conduct research and acquire new machine learning/AI and engineering techniques
Monitor model quality post- deployment; support initiatives to improve model quality.

Familiar with SQL and experience with data transformation
Proficiency in big data technologies, distributed computing, software and visualization development.
Hands- on experience with cloud platforms
Strong proficiency in at least one programming language Python/R
Advanced knowledge in big data and machine learning/AI tech stack including Hadoop and Spark
Adapt well in changing environment & self- learning
Bachelor degree in Mathematics, Statistics, Engineering, Computer Science or other Quantitative discipline or other related majors
Strong hands- on experiences in deploying machine learning model to production.
Related experiences in interpreting/exploring data, working with statistical models, forecasting, machine learning algorithms, and advanced analytical techniques
Good presentation, teamwork and problem solving skills
Min 4- 5 years of solid experience in data science, machine learning engineering or big data engineering.

Participate in training courses depending on the Training Framework for each position
Dynamic, friendly working environment with many opportunities for training, learning and development; participate in many interesting cultural activities (sports event, talents, teambuilding activities...)
Bonus on Holidays and New Year (according to banking policy from time to time)
Get preferential loans according to the bank&039;s policy from time to time
Working time: Monday- Friday & Saturday morning (two Saturday mornings/month off)
Compulsory insurance according to labor law & VPBank care insurance for employees depending on rank and working time
Attractive leave mode according to job rank (12- 18 paid leaves/year)
Attractive income, competitive salary and bonus according to ability (16- 18 month package)

Cập nhật gần nhất lúc: 2025-08-07 23:55:02