SENIOR LLM ENGINEER

7 - 12 years

3 - 6 Lacs

bengaluru

Posted:2 weeks ago| Platform: Naukri logo

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Skills Required

training usage translation focus machine learning deployment transformers windows python testing

Work Mode

Work from Office

Job Type

Full Time

Job Description

Must Have Skill
Overall 7+ years with at least 2+ 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, question answering, classification, and translation.
Familiarity with concepts like attention mechanisms, context windows, tokenization, and
embedding layers.
Awareness of biases, hallucinations, and knowledge cutoffs that can affect LLM
performance and output quality.
Expertise in crafting clear, concise, and contextually relevant prompts to guide LLMs towards
generating desired outputs.
Experience in instruction-based prompting
Use of zero-shot, few-shot, and many-shot learning techniques for maximizing model
performance without retraining.
Experience in iterating on prompts to refine outputs, test model performance, and ensure
consistent results.
Crafting prompt templates for repetitive tasks, ensuring prompts are adaptable to different
contexts and inputs.
Expertise in chain-of-thought (CoT) prompting to guide LLMs through complex reasoning
tasks by encouraging step-by-step breakdowns.
Proficiency in Python and experience with NLP libraries (e.g., Hugging Face, SpaCy, NLTK).
Experience with transformer-based models (e.g., GPT, BERT, T5) for text generation tasks.
Experience in training, fine-tuning, and deploying machine learning models in an NLP

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