AI Engineer - Contract

NTT SINGAPORE PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

NTT Singapore Pte. Ltd. hires an AI/ML Engineer to design and deliver next-generation AI solutions across global financial markets.

You will focus on agentic AI platforms, retrieval systems, and predictive models supporting market intelligence, client engagement, workflow automation, and knowledge management. You will collaborate with business stakeholders, data scientists, and software engineers to translate business challenges into scalable AI-powered solutions, with emphasis on Generative AI,

Qualifications

• Experience in building and deploying ML or AI solutions into production.
• Strong Data Science and Generative AI capabilities.
• Ability to translate business challenges into scalable AI-powered solutions.

Responsibilities

• 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.
• Develop production-ready AI services and APIs.
• Integrate AI solutions with enterprise systems and data sources.

Skills

Machine Learning

Data Science

AI Engineering

Advanced Analytics

Tools

Python

SQL

REST APIs

Job description

Job Title:

AI/ML Engineer (Agentic AI & Data Science)
We are seeking an AI/ML Engineer with strong Data Science and GenerativeAI capabilities to design and deliver next-generation AI solutions acrossGlobal Financial Markets.

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

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

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

  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.
• OptimizeAI solutions for performance, scalability, and cost efficiency
  

Required Qualifications

Experience

• Experience in:
• 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
• TensorFlowor PyTorch

Generative AI (MANDATORY)

Experience in all the following areas:

• RAG
• Vector Search
• LLM Applications
• Dify
• Agentic AI frameworks