Senior Machine Learning Engineer
Senior Machine Learning Engineer at Viridien (CGG) in Singapore working across the full AI lifecycle: fine-tuning and evaluating LLMs/VLMs, orchestrating agentic workflows (RAG, function calling, tool use), and building reproducible data pipelines for production AI systems. Core stack includes Python/C++ with TensorFlow/PyTorch.
- Compensation
- Not disclosed
- Location
- Singapore
- Work setup
- Onsite
- Seniority
- Senior
- Employment
- Not specified
- Experience
- Not specified
- Category
- Ml / AI
- Posted
Skills
Must have
- Master's or Ph.D in Computer Science, Mathematics, Physics, Electrical Engineering, or related technical discipline
- Strong programming skills in one or more of 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 DL libraries (TensorFlow/PyTorch)
- Fluent with at least one AI coding tool: Cursor, Windsurf, Trae, Gemini CLI, Claude Code, or Codex (or similar)
- 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 stakeholders regularly informed
- Passion and aptitude for programming and technology
- Enthusiasm for learning and flexibility to adapt to new challenges or changes in direction
Nice to have
- Experience applying, fine-tuning, optimizing and deploying LLMs to industrial-level real user cases
Full description
Viridien () 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 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:Required:
- 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