
Urgent opening For AI/ML Fine- Tuning Experts
2 days ago
Are you obsessed with pushing the boundaries of Generative AI? Have you fine tuned LLaMA models, dived into LoRA or even full-scale fine tuning? Then this opportunity is tailor-made for you
We are on the hunt for AI /ML Engineers/ Research Engineers /ML Developers with Strong experience in LLM Fine tuning and python to join our AI innovation team.
Location : Siruseri, Chennai,
Experience : 2 to 10 Years
Notice Period : Immediate Joiners to 30 Days
Role & responsibilities :
- Fine-tune LLaMA models on domain-specific data (e.g., finance, healthcare, telecom, legal, etc.)
- Curate, clean, and pre-process 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.
- 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.
what are we looking for ?
Deep expertise in Fine tuning in LLama, LoRA, QLoRA & strong command of Python & ML Libraries
Why join us?
- Work with Top tier AI minds
- Get access to high performance infra for model training
- Drive innovation with real world applications
- Be part of a growing AI team building next -gen tools.
- Nonstop learning and innovation
- Competitive salary + growth opportunities
Ready to build the future with LLM'S? Apply now and shape the future of AI Tag your resume to / and GitHub with your latest fine- tuning experiments .
Lets build the future together - one fine- tuned model at a time.
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