058 - AI/ML Engineer (Agentic AI & Data Science)
Summary
Builds agentic AI platforms, RAG systems, and ML models (recommendations, propensity, ranking) for global financial-markets use cases; 12-month extendable assignment in Singapore (Changi Business Park). Core stack: Python, SQL, scikit-learn/XGBoost, TensorFlow/PyTorch, LLM/RAG tooling including Dify, plus Docker, Git, and OpenShift.
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)