About the role
Take models from notebook to production. You will own training pipelines, evaluation and serving for a document-intelligence product.
Responsibilities
- Build and maintain training and inference pipelines
- Fine-tune and evaluate LLM-based components
- Implement monitoring for model drift
- Collaborate with backend engineers on serving APIs
Requirements
- 3–6 years in ML engineering
- Strong Python and PyTorch
- Production MLOps experience
- Familiarity with LLM fine-tuning and evaluation
Qualification
B.Tech / M.Tech in CS, Statistics or related
Benefits
- Fully remote
- ESOPs
- Health insurance
- Home office budget
Skills
PythonPyTorchMLOpsLLMsAWS SageMaker