ML Engineer

About this role

Nimbus AI is building foundation model fine-tuning infrastructure for enterprise clients. We work with large language models and multimodal models, helping companies adapt base models to domain-specific tasks with limited proprietary data.

The ML Engineer role focuses on the full lifecycle of model development and deployment: dataset curation, fine-tuning pipelines, evaluation frameworks, and serving infrastructure. You'll work closely with research scientists on experiments and with platform engineers on productionising models.

We're a small team with a strong research culture — we publish, we open-source, and we move fast. If you want to work at the frontier of applied ML and have your work matter, this is the role.

What we're looking for

• ✓3–6 years of ML engineering experience with production deployments
• ✓Strong Python; experience with PyTorch and transformers ecosystem
• ✓Hands-on with MLflow or equivalent experiment tracking and model registry
• ✓Experience with distributed training and GPU workload management
• ✓Understanding of LLM fine-tuning techniques (LoRA, instruction tuning, RLHF)
• ✓Bonus: published research or open-source contributions; experience with GCP Vertex AI or AWS SageMaker

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