Our vision at VPBank is to revolutionize our capabilities with AI, cementing our place among Vietnam's top three banks and the top 100 in Asia. Within the Enterprise Data and Analytics (EDA) Division, a high-energy team of experts is on a mission to bring advanced AI and machine learning to the core of our operations. By leveraging cutting-edge AI, we aim to deliver predictive insights, automate processes, enhance customer experiences, and drive smart decision-making across all functions.
As an AI Engineer, you will be instrumental in building and deploying AI models and solutions that transform data into a strategic asset. Working closely with Business Units and EDA teams, you’ll help shape the future of intelligent banking at VPBank.
Key responsibilities:
Support the management and provide direction for the Data Science department (with potential to lead a small team) in applying advanced analytics, data science techniques, AI solutions, and large language models (LLMs) to uncover customer behaviors and solve business and operational challenges.
Work directly with the Head of the Data Science Department to provide guidance on advanced analytics, predictive modeling, and AI solutions within the bank's operations.
Proactively propose, execute, and lead analytics projects to support business units
Apply data science and analytics techniques to get insights so as to help business to solve real business problems
Extract insights from customer behaviors using a variety of data mining techniques
Develop machine learning/AI models to help business units in various problems including customer churn, cross-selling products to existing customer, etc. and develop AI solutions to deliver AI products for supporting operational activities effectively, e.g. smart document, CV Parsing, chat bot, call bot, VirtualQC, GenAI, etc.
Coach & train team members
Automate analytics process
Job Requirement
Who We're Looking For:
A Bachelor’s degree in Mathematics, Statistics, Engineering, Computer Science, or another quantitative discipline, or a related field
A minimum of 4-6 years of solid experience in advanced analytics and data science
Strong understanding and practical experience with advanced analytical concepts and statistical techniques, including hypothesis development, complex data analysis, and deriving actionable insights, with a focus on Natural Language Processing (NLP) and Generative AI applications.
Deep knowledge of statistical and predictive modeling, with hands-on experience applying machine learning algorithms, particularly in deep learning and NLP domains. Proficiency in using techniques like neural networks, transformers, and recurrent networks for tasks such as text classification, sentiment analysis, entity recognition, and language generation.
Experience with cloud technologies and MLOps
Expertise in data mining and predictive modeling techniques, with a particular focus on extracting meaningful insights from large-scale unstructured datasets (e.g., text, audio, or image data) and leveraging those insights for innovative Generative AI applications (e.g., text generation, summarization, machine translation).
Proficiency with deep learning frameworks such as TensorFlow, PyTorch, or similar, with experience in training, fine-tuning, and deploying NLP models like GPT, BERT, or custom generative models to solve complex business problems.
Experience with business intelligence (BI) tools (e.g., Tableau, Power BI, etc.) and data management practices is preferred, including the ability to integrate AI-generated insights into BI dashboards and reports to facilitate data-driven decision-making.
A problem-solving mindset with a commitment to self-directed learning
Leadership and management skills are a plus
What We Offer:
An attractive compensation package, including a competitive salary and bonuses based on performance (15-18 month package).
Holiday and New Year bonuses in accordance with banking policies.
Access to preferential loan options based on the bank’s policies.
Generous leave policy based on job rank, with 12-18 paid leave days per year.
Mandatory insurance in compliance with labor laws, along with VPBank care insurance tailored to employee rank and tenure.
Opportunities to participate in training courses aligned with the training framework for each position.
Working hours: Monday to Friday, with Saturday mornings off (two Saturday mornings per month).
A dynamic and friendly work environment offering numerous opportunities for training, learning, and professional development, along with engaging cultural activities such as sports events, talent showcases, and team-building activities.
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