Production ML Engineer: LLMs, Data Pipelines
At Viridien (CGG) in Singapore, this Production ML Engineer owns the end-to-end AI lifecycle — ingesting data, building robust data pipelines, fine-tuning LLMs for domain tasks, and deploying models with production teams to ship real-world AI products. Deep learning frameworks and multiple programming languages are preferred.
- Compensation
- Not disclosed
- Location
- Singapore, Singapore
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Ml / AI
- Posted
Skills
Must have
- Machine learning engineering experience with data engineering instincts
- Ability to own the end-to-end lifecycle from data ingestion to model deployment
- Developing and fine-tuning LLMs for domain tasks
- Building robust data pipelines
- Orchestrating AI workflows with production teams
Nice to have
- Experience with deep learning frameworks
- Experience with multiple programming languages
Full 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.