Machine Learning Engineer

CGG SERVICES (SINGAPORE) PTE. LTD.; Serangoon Garden Circus; Hybrid; SGD 125,000 - 150,000; Full time

Job summary

A leading technology firm in Singapore is seeking a versatile Machine Learning Engineer to enhance production-grade AI systems. You will be responsible for model development, data infrastructure, and workflow orchestration in a dynamic AI team. The ideal candidate has a degree in a related field, significant programming skills, and experience with LLM technologies. Benefits include a 13-month salary, performance bonuses, and a flexible hybrid work model.

Benefits

13-month Annual Base Salary

Performance bonus

Flexible Hybrid Work Model

Comprehensive Personal and Family Healthcare

Onsite Wellness & Recreation Corner

Fun Employee Engagement Activities

Family Leave

Qualifications

• Master’s or Ph.D. in relevant technical disciplines.
• Proven experience in deep learning frameworks and libraries.
• Strong analytical and problem-solving capabilities.

Responsibilities

• Deploy and fine-tune LLMs for domain-specific tasks.
• Collaborate to create robust data pipelines.
• Design and orchestrate AI workflows for products.

Skills

Programming skills in C/C++/R/Java/Python

Experience with Large Language Model technologies

Experience in Data Engineering/Data Structuring

Strong enterprise project experience with Machine Learning and AI

Communication skills

Flexibility to adapt to challenges

Education

Degree in Computer Science, Mathematics, Physics, Electrical Engineering or related fields

Tools

TensorFlow

PyTorch

Cursor

Windsurf

Trae

Gemini CLI

Claude Code

Codex

Job description

Job Summary

We’re seeking a versatile Machine Learning Engineer with strong data engineering instincts and a passion for production-grade AI systems. You'll play a pivotal role across the AI development lifecycle — from data ingestion to deployment — ensuring our models are reliable, reproducible, and impactful.

About the Team

You’ll be joining a dynamic, globally AI team driving the application of Large Language Models (LLMs) and agentic workflows into our digital solutions. Our mission is to translate the latest advancements in AI into real business impact.

Key Responsibilities

• LLM/NLP Model Development Deploy and fine tune LLMs models for domain-specific tasks.
  Build evaluation infrastructure and benchmarking pipelines to compare model performance across multiple datasets and tasks.
• Data Infrastructure Collaborate with Data Scientist to build and own data pipelines for ingestion, transformation, versioning, and labeling.
  Ensure robust, reproducible data loops to power iterative development.
• AI Workflow Design & Orchestration Orchestrate multiple models to deliver SOTA results.
  Partner with Production team, Software Engineers to bring AI solutions into real-world products.

Qualifications

• Degree, Master’s or Ph.D in Computer Science, Mathematics, Physics, Electrical Engineering, or other related technical disciplines.
• Passion and aptitude for programming and technology
• Enthusiasm for analytical and problem-solving challenges
• Strong enterprise project experience with Machine Learning and AI
• Strong programming skills within one or more of these development languages - C / C++ / R / Java / Python
• Good experience with Large Language Model technologies
• Experience within Data Engineering/Data Structuring
• Experience creating Machine Learning Algorithms and/or Libraries.
• Proven experience with deep learning frameworks and usage of DL libraries (TensorFlow/PyTorch)
• Ability to define and manage project deadlines and balance workloads across a wide variety of projects.
• Effective communication skills to keep all stakeholders regularly informed on progress.
• Enthusiastic attitude towards learning and flexibility to adapt to new challenges or changes in direction.
• Fluent with at least one of the following tools: Cursor, Windsurf, Trae, Gemini CLI, Claude Code, or Codex (or similar)

Benefits

• 13-months Annual Base Salary and performance bonus
• Flexible Hybrid Work Model
• Comprehensive Personal and Family Healthcare
• Onsite Wellness & Recreation Corner
• Fun Employee Engagement & Sustainable Activities
• Family Leave for employees

We see things differently. Diversity fuels our innovation, we value the unique ways in which we differ, and we are committed to equal employment opportunities for all professionals.