Time since we first saw it
Day 37
Similar jobs usually come down between day 4 and day 77.
At DBS Group, jobs usually come down by about day 30.
From 51 similar postings that came down, and 151 of DBS Group’s. Coming down is not always a hire.
AVP, Specialist, Data Scientist, Institutional Banking Group
Reads like an AI Engineer role: building products on existing AI models.
One Island East
Live, first seen by us 37 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employee Status: Full time
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingDesign, develop and deploy GenAI and agentic AI solutions for Corporate Banking
Lead end-to-end delivery of AI initiatives such as eKYC automation and sales-support agents
Build analytics models for risk screening and dynamic pricing
Integrate AI solutions into production systems with business, product and data engineering teams
Set up frameworks for model development, evaluation and deployment
From the employer’s posting
Design, develop, and deploy Generative AI (GenAI) and Agentic AI solutions to drive digital transformation within Corporate Banking (IBG)
Lead the end-to-end implementation of AI-driven initiatives, including eKYC automation, workflow optimization, and intelligent sales-support agents
Develop and optimize advanced analytics models for risk screening and dynamic pricing
Collaborate with cross-functional teams, including business stakeholders, product managers, and data engineers, to integrate AI solutions into production systems
establishing robust frameworks for model development, evaluation, and deployment
What you’ll bring
All qualificationsCore experience
- Degree in Computer Science, Data Science, Statistics, or a related quantitative discipline.
- 8+ years of experience in data science/ML/AI, with a proven track record of delivering enterprise-scale, production-grade initiatives.
- Hands-on expertise in GenAI, LLMs, prompt engineering, RAG, and agentic frameworks (e.g., LangChain, LangGraph, Dify).
- Experience with cloud/big data platforms (GCP/Vertex AI, AWS, Cloudera, BigQuery, Spark, Kedro).
Qualification wording
Degree in Computer Science, Data Science, Statistics, or a related quantitative discipline.
8+ years of experience in data science/ML/AI, with a proven track record of delivering enterprise-scale, production-grade initiatives.
Hands-on expertise in GenAI, LLMs, prompt engineering, RAG, and agentic frameworks (e.g., LangChain, LangGraph, Dify).
Experience with cloud/big data platforms (GCP/Vertex AI, AWS, Cloudera, BigQuery, Spark, Kedro).
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 7, 202637 days ago
- Recorded sightings
- 89
- Last seen by us
- Nov 13, 2026
- Employer says posted
- Sep 17, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
DBS Group is hiring
26 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring has slowed
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- AWS
- BigQuery
- GCP
- Spark
- NumPy
- pandas
- PySpark
- PyTorch
- scikit-learn
Where the posting names them
- 8+ years of experience in data science/ML/AI, with a proven track record of delivering enterprise-scale, production-grade initiatives. - Expert proficiency in AI/ML model development using Python/PySpark and core libraries (Pandas, NumPy, PyTorch, scikit-learn). - Hands-on expertise in GenAI, LLMs, prompt engineering, RAG, and agentic frameworks (e.g., LangChain, LangGraph, Dify).
- Hands-on expertise in GenAI, LLMs, prompt engineering, RAG, and agentic frameworks (e.g., LangChain, LangGraph, Dify). - Experience with cloud/big data platforms (GCP/Vertex AI, AWS, Cloudera, BigQuery, Spark, Kedro). - Advanced data visualization skills; Qlik Sense proficiency is mandatory.
Your next step
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Already applied? Track this application
Demand for AI Engineer roles
New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under AI Engineer, by the work the posting describes.
AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.
Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.
An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.
Job description
Business Function
As the leading bank in Asia, Transformation & Data (T&D) supports our management in the implementation of the Group's agenda. The Data Chapter, organized under T&D, is committed to creating synergies between data analytics functions across the bank, establishing centres of excellence, shared services, and reusable data assets, as well as enhancing career opportunities and the sense of community for data professionals.
Responsibilities
- Design, develop, and deploy Generative AI (GenAI) and Agentic AI solutions to drive digital transformation within Corporate Banking (IBG).
- Lead the end-to-end implementation of AI-driven initiatives, including eKYC automation, workflow optimization, and intelligent sales-support agents.
- Develop and optimize advanced analytics models for risk screening and dynamic pricing to support strategic business decisions.
- Collaborate with cross-functional teams, including business stakeholders, product managers, and data engineers, to integrate AI solutions into production systems.
- Strengthen the bank's AI delivery capabilities by establishing robust frameworks for model development, evaluation, and deployment.
- Contribute actively to the bank's broader AI transformation agenda by identifying and piloting emerging AI technologies and methodologies.
Requirements
- Degree in Computer Science, Data Science, Statistics, or a related quantitative discipline.
- 8+ years of experience in data science/ML/AI, with a proven track record of delivering enterprise-scale, production-grade initiatives.
- Expert proficiency in AI/ML model development using Python/PySpark and core libraries (Pandas, NumPy, PyTorch, scikit-learn).
- Hands-on expertise in GenAI, LLMs, prompt engineering, RAG, and agentic frameworks (e.g., LangChain, LangGraph, Dify).
- Experience with cloud/big data platforms (GCP/Vertex AI, AWS, Cloudera, BigQuery, Spark, Kedro).
- Advanced data visualization skills; Qlik Sense proficiency is mandatory.
- Exceptional analytical, communication, and strategic acumen, with the ability to influence senior stakeholders and bridge business and technology teams.
Apply Now
We offer a competitive salary and benefits package and the professional advantages of a dynamic environment that supports your development and recognises your achievements.
Location:
One Island EastJob:
AnalyticsSchedule:
RegularEmployee Status:
Full timeSource details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
One Island East
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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