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

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...)

• Job type : Permanent
• Salary: Competitive