Associate AI Engineer (Banking Sector)

AI/ML Engineer (Agentic AI & Data Science)

About the Role

We are seeking an AI/ML Engineer with Data Science and GenerativeAI capabilities to design and deliver next-generation AI solutions across Global Financial Markets.

The role will focus on developing Agentic AI platforms, recommendation engines, retrieval systems, and predictive models supporting initiatives such as market intelligence, product recommendations, client engagement, workflow automation, and knowledge management.

You will work closely with business stakeholders, product owners, data scientists, and software engineers to translate business challenges into scalable AI-powered solutions.

Key Responsibilities

Generative AI & Agentic AI

Design and develop AI agents using modern agent frameworks.

Build and optimize RAG (Retrieval-Augmented Generation) solutions.

Develop agent orchestration workflows and tool-calling frameworks.

Implement prompt engineering, evaluation, reflection, and memory capabilities.

Build reusable AI components that can be leveraged across multiple business use cases.

Machine Learning & Data Science

Develop machine learning models for:
Client propensity prediction

Recommendation systems

Classification and ranking

Behavioral analytics

Next-best-action recommendations

Perform data exploration, feature engineering, and model evaluation.

Analyze large structured and unstructured datasets to generate actionable insights.

Monitor model performance and continuously improve accuracy and relevance.

AI Application Development

Build production-ready AI services and APIs.

Integrate AI solutions with enterprise systems and data sources.

Implement monitoring, observability, and evaluation frameworks.

Optimize AI solutions for performance, scalability, and cost efficiency.

Required Qualifications

Experience

:

Machine Learning Engineering

Data Science

AI Engineering

Advanced Analytics

Hands-on experience building and deploying ML or AI solutions into production.

Technical Skills

Programming

Python (mandatory)

SQL

REST APIs

Machine Learning

Experience with:
Scikit-Learn

XGBoost/ LightGBM

TensorFlow or PyTorch

Generative AI – (MANDATORY)

Experience in all the following areas:
RAG

Vector Search

LLM Applications

Dify

Agentic AI frameworks

Data Engineering

Knowledge of:
Data pipelines

Data transformation

Feature engineering

Data quality management

Cloud & DevOps

Experience with:
OCP (Openshift Platform)

Docker

Kubernetes

CI/CD pipelines

Git

Preferred Qualifications

Experience with financial services, banking, capital markets, or wealth management.

Experience building recommendation engines or personalization solutions.

Experience with search, retrieval, and knowledge management platforms.

Familiarity with MLOps, LLMOps, and AI governance practices.

Experience working with unstructured document repositories and enterprise knowledge sources.

NTT Singapore Pte Ltd (NTTS)

is the regional headquarters of NTT Communications Corporation (NTT Com) for Asia Pacific Region.

Established in 1997, NTT Singapore has more than 10 years of expertise in providing information and communications technology (ICT) solutions worldwide.

NTT Singapore offers diverse high-quality connectivity, data centre solutions, security services, IT management services, voice and conferencing solutions and solution integration services to its enterprise customers.

NTT Communications is a wholly owned subsidiary of Nippon Telegraph and Telephone Corporation (NTT Corp.), one of the world’s largest providers of telecommunications services.

In 2013, NTT Corp. is ranked no.1 in telecom industry in the Fortune Global 500* list with operating revenues of more than $133,077 million. It is positioned 32nd among the top 500 corporations worldwide.

NTT Com's extensive global infrastructure includes Arcstar secure private networks, which cover 196 countries/regions and a tier-1 IP backbone network connected with major ISPs worldwide, as well as secure data centers at over 150 locations worldwide.