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Job Description

Description :



Mandatory Skills :



- Transformer Models - either finetune or training on Open-Source Transformer based models. Build and fine-tune large-scale language models using PyTorch and modern libraries.


- Should have done projects on LLM, NLP, LLAMA, Hugging face, RAG, Gen AI


- Hands-on on Python coding experience.


- Should have done Gen AI projects.


- Machine Learning or Deep Learning (any one is mandatory).


- Conversational AI/ Chatbot experience and Agentic AI and Vertex.AI (good to have)

Skills :


- Proven experience as an NLP and ML Engineer or similar role


- Have worked on open-source LLM (like Falcon and llama) for various text generation task


- Have done SFT or PEFT on decoder based LLM for a specific text generation task


- Understanding of NLP techniques for text representation, semantic extraction techniques, data structures and modeling


- Have worked on BERT models for intent classifiers and entity extraction techniques


- Ability to write robust and testable code


- Experience with machine learning frameworks (PyTorch)


- Knowledge of Python, Groovy Script, BPMN

Responsibilities :


- Study and transform data science prototypes


- Design NLP applications


- Use effective text representations to transform natural language into useful features


- Find and implement the right algorithms and tools for NLP tasks


- Develop NLP systems according to requirements


- Train the developed model and run evaluation experiments


- Perform statistical analysis of results and refine models


- Extend ML libraries and frameworks to apply in NLP tasks


- Remain updated in the rapidly changing field of machine learning


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