AI Model Specialist

1 week ago

Greater Hyderabad Area, India beBeeEngineer Full time US$ 1,60,000 - US$ 2,00,000
Job Summary

The Senior LLM Model Developer will be responsible for developing and deploying transformer-based NLP models across various tasks, including text generation, summarization, classification, and translation. The ideal candidate will have a strong understanding of attention mechanisms, self-attention layers, tokenization, embeddings, and context windows.

Key Responsibilities:
  • Develop and fine-tune pre-trained models on domain-specific datasets to optimize for summarization, text generation, question answering, and related tasks.
  • Design, test, and iterate on contextually relevant prompts to guide model outputs for desired performance.
  • Implement and refine instruction-based prompting strategies to achieve contextually accurate results.
  • Apply zero-shot, few-shot, and many-shot learning methods to maximize model performance without extensive retraining.
  • Leverage Chain-of-Thought (CoT) prompting for structured, step-by-step reasoning in complex tasks.
  • Evaluate model performance using BLEU, ROUGE, and other relevant metrics; identify opportunities for improvement.
  • Deploy trained and fine-tuned models into production environments, integrating with real-time systems and pipelines.

Requirements:
  • 7+ years of overall experience in software/AI development with at least 2+ years in transformer-based NLP models.
  • 4+ years of hands-on expertise with transformer architectures (GPT, BERT, T5, RoBERTa, etc.).
  • Strong understanding of attention mechanisms, self-attention layers, tokenization, embeddings, and context windows.
  • Proven experience in fine-tuning pre-trained models for NLP tasks (summarization, classification, text generation, translation, Q&A).
  • Expertise in prompt engineering, including zero-shot, few-shot, many-shot learning, and prompt template creation.
  • Experience with instruction-based prompting and Chain-of-Thought prompting for reasoning tasks.
  • Proficiency in Python and NLP libraries/frameworks such as Hugging Face Transformers, SpaCy, NLTK, PyTorch, TensorFlow.
  • Strong knowledge of model evaluation metrics (BLEU, ROUGE, perplexity, etc.).
  • Experience in deploying models into production environments.
  • Awareness of bias, hallucinations, and limitations in LLM outputs.


Qualifications:
  • Excellent analytical and problem-solving skills.
  • Strong communication and team collaboration skills.
  • Ability to adapt to changing priorities and deadlines.
  • Results-oriented mindset with a focus on delivering high-quality solutions.


Benefits:
  • Opportunities for career growth and professional development.
  • Competitive salary and benefits package.
  • Collaborative and dynamic work environment.

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