Are you an AI \& Data Engineer ready to move beyond simple model training and into building enterprise-grade AI architecture?
Pinpoint Asia
is partnering with a top-tier global bank to expand their Data Technology Group. We are building the "brain" of the bank—a single, comprehensive data cataloging solution that connects business processes, products, and technology.
We need a backend-heavy AI Engineer who can navigate the intersection of
Large Language Models (LLMs), Data Security,
and
Complex Data Modeling
. This is your chance to deploy AI solutions that don't just "work" but are secure, scalable, and drift-resistant in a high-compliance environment.
Why You Should Apply
Work with the Latest Tech:
Get hands-on with
AgentEvals
, Model Drift Detection, and Embedding Models.
High-Impact Projects
: Your work will directly support the bank's financial success and customer interactions.
Scale:
Work with massive datasets (Big Data/Hadoop ecosystem) and solve complex "needle in a haystack" problems using Computer Vision and NLP.
Key Responsibilities
Build \& Deploy:
Develop and deploy classification algorithms, embedding models, and text extraction pipelines.
Monitor \& Optimize:
Implement robust
Drift Detection
and model monitoring (specifically for LLMs using AgentEvals).
Secure the AI:
Design automated pipelines for
PII identification
and extraction—security is paramount here.
Architect:
Work on functional design, scenario mapping, and data modeling (RDBMS/NoSQL) to ensure the AI has clean, structured data to learn from.
The Technical Stack
Core:
Python (Pandas, NumPy), PyCharm.
AI/ML:
TensorFlow, Deep Learning, NLP, Computer Vision.
Data:
SQL (MySQL/PostgreSQL), NoSQL, Data Modelling, Data Wrangling.
DevOps:
GitHub, Jenkins, Docker/Kubernetes (Plus).
Who We Are Looking For
Experience:
5-7 years in Data Science/Engineering with a focus on backend execution.
The "Must-Haves":
You must have deep experience in Python and be comfortable with
Data Modeling
(schema design, lineage).
The "Stand-Out" Factor:
Experience with
LLMs
, Generative AI, or Security Scanning (PII) will put you at the top of the list.
Soft Skills:
You can explain complex AI concepts to non-technical stakeholders and thrive in an Agile environment.