Senior Software Engineer (AI/ML)

EPAM Systems; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

EPAM Systems is looking for a specialist in Singapore to design and build machine learning and Generative AI systems. You'll work on creating pipelines that use enterprise data and integrate AI capabilities into existing platforms.

The ideal candidate has a strong background in Python and machine learning frameworks like TensorFlow and PyTorch. This role involves ensuring quality through rigorous testing, documentation, and engineering standards.

Qualifications

• Proficiency in Python and relevant machine learning frameworks is required.
• Experience with Large Language Models and Generative AI systems is essential.
• Strong understanding of machine learning principles and math.

Responsibilities

• Design and deploy production-grade machine learning systems.
• Create Retrieval-Augmented Generation pipelines to utilize enterprise data.
• Integrate AI capabilities with existing platforms and uphold engineering standards.

Skills

Python proficiency

Machine learning frameworks (TensorFlow, PyTorch)

Problem-solving skills

Tools

Git

Job description

Responsibilities

• Design, build and deploy production-grade machine learning and Generative AI systems.
• Architect agentic and multi-agent solutions including tool and function calling workflows.
• Create Retrieval-Augmented Generation (RAG) pipelines that ground outputs in enterprise data.
• Improve prompt design, safety and response quality through testing and iteration.
• Define evaluation approaches, metrics and benchmarks for model and system performance.
• Integrate AI capabilities into existing platforms with data engineers, platform teams and stakeholders.
• Uphold engineering standards through code reviews, testing, documentation and debugging.

Requirements

• Python proficiency and hands‑on use of machine learning and deep learning frameworks such as TensorFlow and PyTorch.
• Experience building with Large Language Models (LLMs) including orchestration frameworks, agents and reasoning patterns.
• Experience designing and implementing Retrieval-Augmented Generation (RAG) systems for enterprise knowledge and search.
• Knowledge of data preparation, feature engineering, model selection and production performance considerations.
• Understanding of core machine learning math including probability, linear algebra and optimization.
• Familiarity with software engineering practices including Git, testing strategies and maintainable code.
• Strong problem-solving with the ability to diagnose and resolve complex ML and GenAI system issues.