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0.0 years
0 Lacs
india
On-site
Job Description: We are seeking highly analytical and detail-oriented professionals with hands-on experience in Red Teaming, Prompt Evaluation , and AI/LLM Quality Assurance . The ideal candidate will help us rigorously test and evaluate AI-generated content to identify vulnerabilities, assess risks, and ensure compliance with safety, ethical, and quality standards. Job Title :- Red Teaming, Prompt Evaluation, or AI/LLM Quality Assurance Expert Key Responsibilities: Conduct Red Teaming exercises to identify adversarial, harmful, or unsafe outputs from large language models (LLMs). Evaluate and stress-test AI prompts across multiple domains (e.g., finance, healthcare, security) to uncover pot...
Posted 4 days ago
8.0 - 12.0 years
0 Lacs
telangana
On-site
As an AIML - LLM Gen AI Engineer, your primary responsibility will be to design, develop, and implement solutions using transformer-based models for various Natural Language Processing (NLP) tasks. This includes tasks such as text generation, summarization, question answering, classification, and translation. You will be working extensively with transformer models like GPT, BERT, T5, RoBERTa, and similar architectures. Your deep understanding of model architectures, attention mechanisms, and self-attention layers will be crucial in effectively utilizing Large Language Models (LLMs) to generate human-like text. You will lead efforts in fine-tuning pre-trained LLMs and other transformer models...
Posted 2 months ago
5.0 - 10.0 years
6 - 16 Lacs
bengaluru
Work from Office
Role & responsibilities Overall 7 years with at least 5+ years of experience working with transformer-based models and NLP tasks, with a focus on text generation, summarization, question answering, classification, and similar tasks. Expertise in transformer models like GPT (Generative Pre-trained Transformer), BERT (Bidirectional Encoder Representations from Transformers), T5 (Text-to-Text Transfer Transformer), RoBERTa, and similar models. Familiarity with model architectures, attention mechanisms, and self-attention layers that enable LLMs to generate human-like text. Experience in fine-tuning pre-trained models on domain-specific datasets for tasks such as text generation, summarization, ...
Posted Date not available
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