Machine Learning Engineer

Salary: Annual Leaves, Medical, Gratuity.

Key Highlights

• Design and implement AI, machine learning and automation solutions for enterprise environments
• Work with LLMs, RAG, AI agents, LangChain and modern AI frameworks
• Lead end-to-end solution delivery from design and prototyping through production deployment

Overview

Our client is seeking an experienced ML Engineer to design, develop and deliver AI-enabled solutions that address real business challenges. This role combines solution architecture, machine learning engineering and stakeholder engagement, requiring hands-on technical expertise alongside the ability to translate business requirements into practical and scalable solutions.

Key Responsibilities

• Partner with business stakeholders to understand objectives, define requirements and establish success criteria for AI initiatives.
• Design and implement AI, machine learning and automation solutions, including LLM, RAG and agent-based architectures.
• Develop, integrate, test and deploy solutions from prototype stage through production handover and support.
• Collaborate with IT teams and external vendors to ensure successful implementation within system, security and operational constraints.
• Document solution designs, reusable frameworks, lessons learned and best practices for future projects.

Requirements

• Degree in Computer Science, Engineering, Information Systems or a related discipline.
• Minimum 5 years of experience in solution delivery, software engineering or AI engineering roles.
• Strong hands-on programming experience, particularly in Python, with knowledge of TypeScript or similar languages being advantageous.
• Familiarity with AI frameworks and technologies such as LangChain, MCP, A2A, LLMs, RAG and agentic workflows.
• Experience with APIs, databases, cloud platforms and modern software development practices, including AI-assisted development tools.

Why Apply?

This role offers the opportunity to work on cutting-edge AI and machine learning initiatives that directly influence business transformation. You will gain exposure to advanced AI technologies, collaborate with senior stakeholders and contribute to innovative projects while building scalable, production-ready solutions in a dynamic environment.

Interested candidates are welcome to apply with their latest CV for a confidential discussion. This is an excellent opportunity for experienced engineers looking to advance their careers in AI solution delivery, machine learning engineering and enterprise-scale technology transformation projects.