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Popular mid-level ML role (3–6 yrs) in Hyderabad raises qualified applicant density.
Specialized NLP and LLM production skills reduce cross-industry transferability.
Mandatory 3–6 years, NLP/LLM and production ML skills create strict filtering.
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Develop and optimize AI and ML models using structured and unstructured data with focus on NLP, including tasks like classification, information extraction, and document summarization.
Research and implement advanced NLP techniques and fine-tune Large Language Models (LLMs) such as Transformers (BERT, RoBERTa), GPT, etc., to improve accuracy and efficiency.
Deploy LLMs and AI solutions at production scale, including applying optimizations like quantization and prompt engineering for enhanced model performance.
3-6 years of hands-on experience in Data Science and Machine Learning with strong NLP expertise.
Proficiency in Python programming and familiarity with TensorFlow and PyTorch frameworks.
Experience with advanced models (Transformers, CNN, LSTM, XGBoost, GPT) and LLM tools like LangChain, LlamaIndex.
Bachelor's or Master’s degree in Computer Science, Electrical Engineering, Statistics, or equivalent field.
Experienced with end-to-end NLP model development and deployment in production environments, including fine-tuning and optimizing large-scale models.
Strong practical knowledge of LLMs (commercial and open-source) and associated tools for tasks like prompt engineering and Retrieval-Augmented Generation (RAG).
Comfortable working in AI-native, data-intensive environments serving complex document processing use cases in legal or similar sectors.