ML Engineer – LoRA Fine-Tuning / LLM

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