Machine Learning Engineer

CGG Services (Singapore) Pte. Ltd.; Singapore; On-site; SGD 80,000 - 120,000; Full time

Benefits offered by this job

13-month annual base salary and performance bonus

Flexible hybrid work model

Comprehensive personal and family healthcare

On-site wellness and recreation facilities

Family leave for employees

Job summary

CGG Services (Singapore) Pte. Ltd. is looking for a versatile Machine Learning Engineer passionate about AI systems. This role involves deploying LLMs, building data pipelines, and integrating AI into products.

Ideal candidates should hold an advanced degree in a related field and have strong programming and deep learning skills. Benefits include a 13-month salary, performance bonuses, and a flexible hybrid work model.

Qualifications

• Strong programming skills in C, C++, Java, or Python.
• Advanced understanding of LLM and VLM architecture.
• Proven experience with deep learning frameworks and libraries.

Responsibilities

• Deploy and fine-tune LLMs for domain-specific tasks.
• Build data pipelines for ingestion and transformation.
• Integrate AI solutions into real-world products.

Skills

C

C++

Python

Deep Learning

Data Engineering

Education

Master’s or Ph.D. in Computer Science, Mathematics, Physics, Electrical Engineering or related technical discipline

Tools

TensorFlow

PyTorch

Cursor

Gemini CLI

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 join a dynamic, globally‑distributed AI team that applies Large Language Models (LLMs) and agentic workflows to our digital solutions. The team’s mission is to translate cutting‑edge AI research into tangible business value.

Key Responsibilities

• LLM/NLP Model Development – Deploy and fine‑tune LLMs for domain‑specific tasks; build evaluation infrastructure and benchmarking pipelines to compare performance across datasets; apply reinforcement learning, knowledge representation, and automated decision‑making to solve end‑to‑end problems.
• Data Infrastructure – Collaborate with Data Scientists to build and own data pipelines for ingestion, transformation, versioning, and labeling; ensure robust, reproducible data loops that power iterative development.
• AI Workflow Design & Orchestration – Orchestrate multiple models to deliver state‑of‑the‑art results; partner with production teams and software engineers to integrate AI solutions into real‑world products; architect multi‑model agentic workflows (e.g., function calling, tool usage, RAG, code interpreters) for production use.

Qualifications

• Advanced degree (Master’s or Ph.D.) in Computer Science, Mathematics, Physics, Electrical Engineering, or a related technical discipline.
• Strong programming skills in at least one of: C, C++, R, Java, or Python.
• Advanced understanding of LLM and VLM architecture, post‑training methods (fine‑tuning, RL) and evaluation pipelines.
• Experience in data and system engineering for large‑scale model workflows.
• Proven experience with deep learning frameworks and libraries (TensorFlow, PyTorch).
• Familiarity with tools such as Cursor, Windsurf, Trae, Gemini CLI, Claude Code, Codex, or similar.
• Experience applying, fine‑tuning, optimizing, and deploying LLMs to industrial‑level real user cases is a plus.
• Passion and aptitude for programming and technology; enthusiasm for analytical and problem‑solving challenges.
• Enterprise‑level project experience with Machine Learning and AI.
• Ability to define and manage project deadlines and balance workloads across a portfolio of projects.
• Effective communication skills to keep stakeholders informed on progress.
• Enthusiastic attitude toward learning and flexibility to adapt to new challenges or changes in direction.

Benefits

• 13‑month annual base salary and performance bonus.
• Flexible hybrid work model.
• Comprehensive personal and family healthcare.
• On‑site wellness and recreation facilities.
• Employee engagement and sustainable activities.
• Family leave for employees.

EEO Statement

Viridien is committed to delivering a respectful, inclusive, and transparent recruitment experience. We value diversity and are an equal‑employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, or disability.