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Job Description

Role : AI/ML Specialist (WFO)

Years of Experience - 2 to 10 Years


Location : Sirusseri


Notice Period Preferred - Immediate Joiners to 15 days


Responsibilities :


- Fine-tune LLaMA models on domain-specific data (e.g., finance, healthcare, telecom, legal, etc.)

- Curate, clean, and preprocess datasets for supervised and unsupervised fine-tuning.

- Implement low-rank adaptation (LoRA), PEFT, QLoRA, or full fine-tuning as per need.

- Optimize model training performance using tools/libraries.

- Evaluate fine-tuned models using appropriate metrics.

- Deploy and integrate models with APIs, RAG pipelines, or inference servers.

- Use tools like Weights & Biases, LangSmith, or TensorBoard for training monitoring and logging.

- Conduct safety audits and hallucination checks post-fine-tuning.

Skills :


- Familiarity with open-source LLMs beyond LLaMA (Mistral, Falcon, Mixtral, etc.).

- Hands-on with orchestration tools like LangChain, LangGraph, CrewAI, or Flowise.

- Knowledge of tokenizers, embeddings, and prompt templates.

- Experience with LLaMA (preferably LLaMA 2 / LLaMA 3) and Hugging Face ecosystem.

- Proficiency in Python, PyTorch, and model training workflows


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