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Senior AI & Business Analytics Engineer

Senior AI & Business Analytics Engineer

Custom Field 1:  DataScience
Custom Field 3:  DataScience
Country/Region:  VN
Date:  Aug 25, 2026
Location: 

Ho Chi Minh City, VN, 700000 Hanoi, VN, 10000

Working place:  Hybrid

Role Summary  

We are seeking a Senior AI & Business Analytics Engineer to join the Data & AI team of one of Asia's leading digital banks.This role combines Data Science, AI Engineering, Cloud Engineering, and Advanced Business Analytics. The successful candidate will design, build, deploy, and operate AI-powered solutions that drive revenue growth, improve customer engagement, optimize pricing strategies, and deliver personalized customer experiences. The ideal candidate has experience developing production-grade machine learning solutions, building cloud-native data platforms, and leveraging Generative AI and AI Agents to create measurable commercial outcomes. 

Ideal Candidate Profile 

A hands-on practitioner who has successfully deployed end-to-end AI solutions into production, combining machine learning, cloud engineering, data pipelines, and AI agents. Examples may include pricing propensity models, personalized loan offers, recommendation engines, customer next-best-action solutions, campaign optimization, or revenue growth initiatives.

 

Key Responsibilities 

Business Analytics & Machine Learning 

  • Design and deploy predictive models supporting customer growth, acquisition, retention, and revenue generation. 

  • Build pricing, propensity, recommendation, personalization, and customer segmentation models. 

  • Develop analytics solutions that improve commercial performance across customer journeys. 

  • Work closely with business stakeholders to identify, prioritize, and deliver high-impact analytics opportunities. 

AI Agents & Personalization 

  • Design and deploy AI agents supporting customer engagement and decision intelligence. 

  • Leverage Generative AI technologies to improve personalization and customer experience. 

  • Build solutions for:  

  • Personalized loan offers 

  • Pricing propensity models 

  • Product recommendation engines 

  • Customer next-best-action solutions 

  • Campaign optimization and targeting 

  • Revenue growth and customer engagement initiatives 

Data Engineering & Platform Development 

  • Design and develop ETL/ELT pipelines supporting advanced analytics and AI use cases. 

  • Build DAG-based orchestration and automation workflows. 

  • Ensure reliable access to high-quality data across analytical platforms.  

Cloud & AI Platform Engineering 

  • Deploy and manage AI/ML workloads on cloud platforms. 

  • Implement MLOps capabilities and continuous delivery practices. 

  • Support scalable and secure AI platform operations. 

 

Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related disciplines. 

  • 5+ years of experience in Data Science, Machine Learning, AI Engineering, or Advanced Analytics. 

  • Proven experience building and deploying machine learning models into production environments. 

  • Strong Python programming skills and experience with modern AI/ML frameworks. 

  • Experience developing ETL/ELT pipelines and data processing solutions. 

  • Experience with DAG orchestration and workflow automation. 

  • Cloud experience (AWS preferred). 

  • Experience deploying AI/ML solutions and AI agents in production environments. 

  • Practical experience with Generative AI, LLMs, AI Agents, and AI-assisted workflows. 

  • Strong business acumen and ability to translate analytical solutions into measurable business outcomes. 

Preferred Qualifications 

  • Banking, fintech, digital banking, or financial services experience. 

  • Experience building:  

  • Pricing propensity models 

  • Recommendation engines 

  • Personalization platforms 

  • Customer segmentation solutions 

  • Revenue optimization initiatives 

  • Experience deploying production-grade AI agents. 

  • Demonstrated ability to quantify business impact through revenue growth, customer engagement, conversion improvement, or operational efficiency gains. 

 

(Note: Due to the high volume of applications we receive, we are unable to respond to every candidate individually. If you have not received a response from GFT regarding your application within 10 workdays, please consider that we have decided to proceed with other candidates. We truly appreciate your interest in GFT and thank you for your understanding)

About Us

We show commitment to our investors and stand for solid, long-term growth performance. Founded in Germany in 1987 and in American territory since 2008, GFT expanded globally to over 10,000 experts. And to more than 15 markets to ensure proximity to clients. With new opportunities from Asia to Brazil, the international growth story continues. We are committed to grow tech talents worldwide. Because our team’s strong consulting and development skills across legacy and pioneering technologies, like GreenCoding, underpin success. We maintain a family atmosphere in an inclusive work environment.

There is room for your talent!

Put your talent to work. At GFT, you'll be working with some of the brightest people in business and technology on challenging and rewarding projects in, a team of like-minded individuals.
Feel it. We are #one team collaboratively working towards the same goal.

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