Machine Learning Engineer (Deployment & API Integration) - TA150

Deploy and integrate AI/machine learning models

- Develop and operate components within the MLOps platform.
Partner with data scientists to build and operate Feature Store.
- Monitor model quality post- deployment; support initiatives to improve model quality.
- Design deployment architecture for machine learning model, leverage on premise and cloud based big data platforms to refactor and optimize code for production.
- Collaborate with relevant units to build/acquire new data sources for AI Center, EDA to facilitate developing new usecases.
- Support the validation of machine learning models.
- Automate data and machine learning engineering processes.

Conduct research and acquire new machine learning techniques

- Conduct research on modern methods for AI/machine learning and engineering.Proactively analyze and utilize existing/new data sources to support more impactful analyses.

Collaborate with business units on advanced analytics- related problems

- Support other centers/departments in providing prescriptive and predictive analyses when needed.
- Working with other centers/departments in EDA as well as Business Units to understand business problems to support them in better utilizing machine learning.
Training:
Training other EDA team members on machine learning engineering.

- Deep understanding of AI/machine learning, big data technologies (including Hadoop/Spark), distributed computing, software development and visualization.
- Proven experience in deploying AI/machine learning model to production.
- Minimum 3- 5 years (senior)/ 2- 3 years (junior) of solid experience in data science, machine learning or big data engineering.
- Familiar with SQL and experience with data transformation.
- Bachelor’s degree in mathematics, Statistics, Engineering, Computer Science or other Quantitative discipline.
- Experience in data exploration/interpretation, working with statistical models, forecasting, machine learning algorithms, advanced analytical techniques.
- Have knowledge and ability to work with cloud platforms.
- Strong proficiency in at least one programming language Python/R.

- Participate in training courses depending on the Training Framework for each position
- Compulsory insurance according to labor law & VPBank care insurance for employees depending on rank and working time
- Attractive income, competitive salary and bonus according to ability
- Working time: Monday- Friday & Saturday morning (two Saturday mornings/month off)
- Attractive leave mode according to job rank
- 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
- Dynamic, friendly working environment with many opportunities for training, learning and development; participate in many interesting cultural activities (sports event, talents, teambuilding activities...)

Cập nhật gần nhất lúc: 2025-09-04 20:20:02