About the Role

We are seeking an accomplished Senior LLM (Large Language Model) Engineer to design, fine-tune, and deploy advanced transformer-based NLP solutions. You will work on cutting-edge projects involving text generation, summarization, question answering, and more, leveraging state-of-the-art models to deliver intelligent, high-impact applications.
Location: Hyderabad
Type: Contract – Full-time
Experience: 7+ Years (including 2+ years with Transformer/NLP models)
Availability: immediate joiners

Key Responsibilities

• Design, train, and fine-tune transformer-based models such as GPT, BERT, T5, and RoBERTa for diverse NLP tasks.
• Implement text generation, summarization, Q&A, classification, and translation solutions.
• Apply prompt engineering techniques (zero/few/many-shot, instruction-based, chain-of-thought) for optimal model performance.
• Work with tokenization, embeddings, and attention mechanisms to enhance efficiency and accuracy.
• Deploy and monitor NLP models in production environments.
• Evaluate model performance using metrics like BLEU and ROUGE, and iterate for continuous improvement.
• Collaborate with cross-functional teams to integrate NLP solutions into larger applications.

Requirements

• 7+ years of software development or machine learning experience, with at least 2 years focused on Transformer-based NLP models.
• Proficiency in Python and NLP libraries such as Hugging Face, SpaCy, and NLTK.
• Strong expertise in model fine-tuning, deployment, and optimization.
• Deep understanding of tokenization methods, embedding techniques, and attention mechanisms.
• Familiarity with large-scale data processing and distributed training frameworks.
• Excellent problem-solving skills and a passion for pushing the boundaries of language technology.

This is an exciting opportunity to work with cutting-edge language models and deliver next-generation AI-driven solutions.