Senior LLM Engineer

Experience : 7+ Years

Relevant Experience : 4+ Years

Work Mode : Hyderabad

Budget : 2.6lpm

Key Responsibilities :

• Model Expertise : Work with transformer models (GPT, BERT, T5, RoBERTa, etc.) across NLP tasks including text generation, summarization, classification, and translation.
• Model Fine-Tuning : Fine-tune pre-trained models on domain-specific datasets to optimize for summarization, text generation, question answering, and related tasks.
• Prompt Engineering : Design, test, and iterate on contextually relevant prompts to guide model outputs for desired performance.
• Instruction-Based Prompting : Implement and refine instruction-based prompting strategies to achieve contextually accurate results.
• Learning Approaches : Apply zero-shot, few-shot, and many-shot learning methods to maximize model performance without extensive retraining.
• Reasoning Enhancement : Leverage Chain-of-Thought (CoT) prompting for structured, step-by-step reasoning in complex tasks.
• Model Evaluation : Evaluate model performance using BLEU, ROUGE, and other relevant metrics; identify opportunities for improvement.
• Deployment : Deploy trained and fine-tuned models into production environments, integrating with real-time systems and pipelines.
• Bias & Reliability : Identify, monitor, and mitigate issues related to bias, hallucinations, and knowledge cutoffs in LLMs.
• Collaboration : Work closely with cross-functional teams (data scientists, engineers, product managers) to design scalable and efficient NLP-driven solutions.

Must-Have Skills :

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