Machine Learning Engineer

CGG Services (Singapore) Pte Ltd; Singapore; Hybrid; SGD 120,000 - 190,000; Full time

Benefits offered by this job

Hybrid work model

Healthcare

Wellness corner

Engagement activities

Family leave

Job summary

Viridien is 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.

Join a dynamic, global AI team applying LLMs and agentic workflows to real business solutions. You will collaborate with Data Scientists and Software Engineers to design scalable data pipelines

Qualifications

• Degree in a technical discipline (CS/Math/Physics/Engineering) with advanced study.
• Strong programming and ML/AI experience across production systems.
• Experience with DL frameworks and large language models.

Responsibilities

• Develop and fine-tune LLMs for domain-specific tasks and build evaluation pipelines.
• Design robust data pipelines for ingestion, transformation, and labeling with reproducible data loops.
• Orchestrate AI workflows and collaborate with Production and Software teams to deploy solutions.

Skills

ML/AI development

Data engineering

Model deployment

Communication

Education

Master's or PhD in CS/Math/Physics/Engineering

Tools

TensorFlow

PyTorch

CUDA

Spark

Docker

Job description

Viridien (www.viridiengroup.com) is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition and infrastructure challenges.

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:

Required:

• 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.