About this role
Hiring: ML Engineer – LoRA Fine-Tuning / LLM
**Experience:** 6+ Years
**Contract Duration:** 6 Months (Extendable)
**Work Timings:** 11:00 AM – 8:00 PM IST
**Salary:** ₹1,00,000 – ₹1,12,000 per month
**Engagement:** Offshore Partner Contract
Job Description
We are looking for an experienced **Machine Learning Engineer** to build and operationalize LoRA (Low-Rank Adaptation) fine-tuning pipelines for adapting frozen foundation models. The ideal candidate should have strong hands-on experience with Python, PyTorch, Hugging Face, and parameter-efficient fine-tuning of Large Language Models (LLMs).
Key Responsibilities
- Implement LoRA fine-tuning pipelines, including adapter configuration, training loops, and hyperparameter tuning.
- Develop data preprocessing, tokenization, and train/validation splits for clinical datasets.
- Execute, monitor, and checkpoint model training runs.
- Track experiments and manage model and adapter versioning.
- Package LoRA adapters as portable artifacts for repeatable deployment.
- Integrate trained adapters into model inference and serving pipelines.
- Collaborate with AWS Data Scientists on evaluation frameworks and model-quality metrics.
Required Skills
- Strong proficiency in Python and PyTorch.
- Hands-on experience with Hugging Face Transformers and PEFT.
- Practical experience with LoRA and parameter-efficient fine-tuning (PEFT).
- Strong understanding of LLM training, fine-tuning, and evaluation.
- Experience with experiment tracking tools such as MLflow or Weights & Biases.
- Experience with data preprocessing, tokenization, checkpointing, and model versioning.
- **Language proficiency: [Specify mandatory language].**
Preferred Qualifications
- Experience fine-tuning foundation models using clinical or healthcare datasets.
- Familiarity with model deployment, inference pipelines, and adapter integration.
- Experience collaborating with data science teams in AWS environments.
How to Apply
Interested candidates with relevant hands-on LoRA fine-tuning and LLM training experience can share their updated resumes, highlighting relevant projects and technical expertise.
Pay: ₹100,000.00 - ₹120,000.00 per month
Work Location: Remote