Production ML Engineer: LLMs, Data Pipelines

CGG SERVICES (SINGAPORE) PTE. LTD.; Singapore; Hybrid; SGD 120,000 - 210,000; Full time

Benefits offered by this job

13th month salary

Flexible Hybrid Work Model

Healthcare coverage

Wellness corner

Engagement & sustainability activities

Family leave

Job summary

Viridien is seeking a versatile Machine Learning Engineer with data engineering instincts to join our global AI team. You will own the end-to-end lifecycle from data ingestion to model deployment, ensuring reliable, reproducible, and impactful AI solutions.

You will develop and fine-tune LLMs for domain tasks, build robust data pipelines, and orchestrate AI workflows with production teams to ship real-world products. Experience with DL frameworks and multiple programming languages is preferred.

Qualifications

• Degree or higher in CS/Math/Physics/EE or related fields.
• Strong programming and technology aptitude.
• Analytical and problem-solving mindset.
• Proven ML/AI project experience.
• Proficiency in Python and at least one of C/C++/Java/R.
• Experience with LLM technologies.
• Data engineering/data structuring experience.
• Experience with DL frameworks (TensorFlow/PyTorch).
• Ability to manage deadlines and communicate across teams.
• Familiarity with Cursor, Windsurf, Trae, Gemini CLI, Claude Code or Codex.

Responsibilities

• LLM/NLP Model Development: deploy and fine-tune LLMs for domain tasks and build benchmarking pipelines.
• Data Infrastructure: build and own data pipelines for ingestion, transformation, versioning and labeling.
• AI Workflow Design & Orchestration: orchestrate models to deliver SOTA results and partner with Production and Software Engineers.

Skills

Python

C/C++

Java

R

ML/AI projects

Data engineering

DL frameworks

Communication

Problem solving

Education

Degree/Master/PhD in CS/Math/Physics/EE or related

Tools

TensorFlow

PyTorch

Claude Code

Codex

Gemini CLI

Trae

Job description

Viridien is seeking a versatile Machine Learning Engineer with data engineering instincts to join our global AI team. You will own the end-to-end lifecycle from data ingestion to model deployment, ensuring reliable, reproducible, and impactful AI solutions.

You will develop and fine-tune LLMs for domain tasks, build robust data pipelines, and orchestrate AI workflows with production teams to ship real-world products. Experience with DL frameworks and multiple programming languages is preferred.