Senior Machine Learning Engineer

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 an award-winning trading provider with 25+ years of experience and offices worldwide including London, Larnaca, Beirut, Amman, Dubai, Port Louis, and others.

CFI is hiring! Make your mark in the online trading industry.

Job Description

We are seeking a talented Machine Learning Engineer to join our growing team.

Key Responsibilities

• Design, build, and optimize ML models to support business and product needs.
• Develop, test, and deploy AI agents (internal and client-facing) using LLMs and MCP within Databricks.
• Implement Retrieval-Augmented Generation (RAG) systems and multi-step reasoning agents.
• Deliver scalable, robust ML and AI solutions that integrate seamlessly 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.

Qualifications

• Minimum 3 years of experience as Senior Machine Learning Engineer
• Strong Python skills with experience in ML libraries (TensorFlow, PyTorch, Scikit-learn, Keras).
• Proven experience developing and deploying LLM-powered agents with multi-step reasoning.
• Hands-on experience with RAG architectures and MCP.
• Strong proficiency in Databricks for ML workflows, training, and deployment.
• End-to-end experience deploying ML models and AI agents to production.
• Strong SQL skills and familiarity with relational & NoSQL databases.
• Experience with data streaming (Kafka, Flink, or similar).
• Familiarity with MLOps practices: model versioning, CI/CD, monitoring, automated retraining.
• Experience with cloud platforms (AWS, Azure, GCP) and containerization (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.
• Fast-growing, multinational company
• Competitive salaries and benefits
• Work and learn with industry professionals
• Supportive and collaborative environment
• Unlimited opportunities for growth and development