Senior Machine Learning Engineer

CGG Services (Singapore) Pte. Ltd.; Singapore; On-site; SGD 90,000 - 150,000; Full time

Benefits offered by this job

13-month Annual Base Salary and performance bonus

Flexible Hybrid Work Model

Comprehensive Personal and Family Healthcare

Onsite Wellness & Recreation

Employee Engagement & Sustainable Activities

Family Leave

Job summary

CGG Services (Singapore) Pte. Ltd. is looking for a Senior Machine Learning Engineer to strengthen their globally dynamic AI team. This role involves developing and deploying state-of-the-art LLMs, ensuring data pipelines are robust, and providing technical leadership. Ideal candidates will possess a Master’s or Ph.D. in a related field and programming prowess in languages like Python or Java.

Benefits include a competitive annual salary with bonuses, a flexible hybrid work model, and comprehensive health care options.

Qualifications

• Master's or Ph.D in a related technical discipline.
• Strong programming skills in C / C++ / R / Java / Python.
• Proven experience with large-scale model workflows and deep learning frameworks.

Responsibilities

• Deploy and fine-tune LLMs for domain-specific tasks.
• Collaborate to build and own data pipelines.
• Lead technical execution and mentorship for junior engineers.

Skills

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

Experience with deep learning frameworks (TensorFlow/PyTorch)

Fluency in AI tools (Cursor, Windsurf, Trae, etc.)

Passion for solving analytical problems

Education

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

Job description

Job Summary

We’re seeking a versatile Senior 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.
• Apply reinforcement learning, knowledge representation, and automated decision‑making to solve complex problems end‑to‑end.

Data Infrastructure

• Collaborate with Data Scientist to build and own data pipelines for ingestion, transformation, versioning, and labelling.
• 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.
• Architect and orchestrate multi‑model agentic workflows (function calling, tool usage, RAG, and code interpreters) and integrate them into production systems.

Leadership

• Provide technical leadership and mentorship to junior engineers, fostering a culture of continuous learning and innovation.

Qualifications

• Master’s or Ph.D in Computer Science, Mathematics, Physics, Electrical Engineering, or other related technical disciplines.
• Strong programming skills within one or more of these development languages - C / C++ / R / Java / 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 usage of DL libraries (TensorFlow/PyTorch).
• Fluent with at least one of the following tools: Cursor, Windsurf, Trae, Gemini CLI, Claude Code, or Codex (or similar).
• Experience in applying, fine‑tune, optimize and deploy LLMs to industrial‑level real user case is a plus.
• Passion and aptitude for programming and technology.
• Enthusiasm for analytical and problem‑solving challenges.
• Strong enterprise project experience with Machine Learning and AI.
• 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.

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.