Senior ML Engineer - AI Agents, RAG & Production ML

CFI Financial Group; Petaling Jaya; On-site; MYR 180,000 - 260,000; Full time

Job summary

CFI Financial Group is seeking a Machine Learning Engineer to join our growing team in Malaysia. You will design, build, and deploy advanced ML models and LLM-powered agents to support trading and fintech initiatives.

The role emphasizes Databricks, RAG architectures, end-to-end deployment, and collaboration with data engineering, product, and business teams. Fluent English communication and a strong maths/statistics foundation are essential.

Qualifications

• Minimum 3 years of experience as Senior Machine Learning Engineer.
• Strong Python skills with ML libraries (TensorFlow, PyTorch, Scikit-learn, Keras).
• Experience deploying LLM-powered agents with multi-step reasoning.
• Hands-on with RAG architectures and MCP.
• Strong Databricks experience for ML workflows, training, and deployment.
• End-to-end ML model and AI agent deployment to production.
• Strong SQL and relational & NoSQL databases.
• Experience with data streaming (Kafka, Flink, or similar).
• Familiarity with MLOps: model versioning, CI/CD, monitoring, automatic retraining.
• Experience with cloud platforms (AWS, Azure, GCP) and Docker/Kubernetes.
• Experience with NLP, transformers, and predictive analytics models.
• Strong foundation in mathematics, statistics, and computer science.
• Fintech or financial services background strongly preferred.
• Excellent communication skills in English.

Responsibilities

• Design, build, and optimize ML models to support business needs.
• Develop, test, and deploy AI agents using LLMs within Databricks.
• Implement Retrieval-Augmented Generation (RAG) systems and multi-step reasoning agents.
• Deliver scalable ML and AI solutions that integrate with existing systems.
• Acquire, clean, and analyze data from multiple sources to support ML initiatives.
• Ensure data and model quality, integrity, and compliance with best practices.
• Break down complex AI/ML projects into actionable tasks with realistic time estimates.
• Collaborate with cross-functional teams (data engineering, front-end, business, project management, product).
• Maintain clear documentation, project milestones, and deliverables.
• Foster a collaborative, innovative environment and contribute to knowledge sharing.
• Uphold and help establish coding standards and code review processes for AI/ML projects.

Skills

Python

LLM agents

Multi-step reasoning

RAG architectures

MCP

SQL

Data streaming

MLOps

Cloud platforms

NLP & transformers

Math & stats

English communication

Fintech knowledge

Tools

TensorFlow

PyTorch

Scikit-learn

Keras

Databricks

Kafka

Flink

Docker

Kubernetes

AWS

Azure

GCP

Job description

CFI Financial Group is seeking a Machine Learning Engineer to join our growing team in Malaysia. You will design, build, and deploy advanced ML models and LLM-powered agents to support trading and fintech initiatives.

The role emphasizes Databricks, RAG architectures, end-to-end deployment, and collaboration with data engineering, product, and business teams. Fluent English communication and a strong maths/statistics foundation are essential.