058 - AI/ML Engineer (Agentic AI & Data Science)

RiDiK (a Subsidiary of CLPS. Nasdaq: CLPS); Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

RiDiK, a subsidiary of CLPS, Singapore, is seeking an AI/ML Engineer focused on Agentic AI and Data Science. You will design and deliver AI solutions across Global Financial Markets, building AGI-like agents, RAG systems, and predictive models.

You will collaborate with product owners, data scientists and engineers to translate business challenges into scalable AI-powered solutions, focusing on performance, scalability, and cost efficiency.

Qualifications

• Proven hands-on ML/AI development and deployment to production.

Responsibilities

• Design and develop AI agents using modern agent frameworks.
• Build and optimize RAG solutions for retrieval augmented generation.
• Develop agent orchestration workflows and tool-calling frameworks.
• Implement prompt engineering, evaluation, memory, and reflection.

Skills

Python

SQL

REST APIs

Scikit-Learn

XGBoost

LightGBM

TensorFlow

PyTorch

Docker

Git

OCP

Tools

Docker

Git

Openshift

Job description

058 - AI/ML Engineer (Agentic AI & Data Science)

RiDiK (a Subsidiary of CLPS. Nasdaq: CLPS) View all jobs

Job Role: AI/ML Engineer (Agentic AI & Data Science)

Quantity: 1

About the Role

We are seeking an AI/ML Engineer with strong Data Science and Generative AI 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.

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

Experience in:

Machine Learning Engineering

Data Science

Advanced Analytics

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

Technical Skills:

Programming

Python (mandatory)

SQL

REST APIs

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

Knowledge of:

Data transformation

Experience with:

OCP (Openshift Platform)

Docker

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.

Work Location:

Changi Business Park

Assignment Duration:

12 Months(Extendable)