AI Model Customization Expert

1 day ago

Delhi, Delhi, India beBeeCustomization Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
AI Model Customization Specialist

 

We are looking for a skilled individual to join our team as an AI Model Customization Specialist.

 

Responsibilities:

  • Design, test and refine prompts, chains, and workflows to achieve high-quality results from LLMs.
  • Fine-tune and customize pre-trained LLMs on domain-specific datasets.
  • Implement evaluation metrics to measure prompt effectiveness, response accuracy, and model reliability.
  • Collaborate with engineering teams to integrate LLMs into production environments.
  • Research and apply the latest techniques in prompt engineering, retrieval-augmented generation (RAG), few-shot/zero-shot learning, and model alignment.
  • Establish guardrails and safety mechanisms to prevent harmful or biased outputs.
  • Document best practices and build internal guidelines for effective prompt usage.

 

Requirements:

  • Proven experience in LLM prompt engineering, fine-tuning, or customization.
  • Hands-on experience with frameworks such as LangChain, LlamaIndex, Haystack, or similar.
  • Proficiency in Python and experience with ML libraries (PyTorch, TensorFlow, Hugging Face Transformers).
  • Strong understanding of natural language processing (NLP) concepts and LLM architectures.
  • Ability to analyze and optimize model outputs for accuracy, consistency, and safety.
  • Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps practices is a plus.
  • Excellent communication skills and ability to translate technical work into business impact.

 

Preferred Qualifications:

  • Experience with fine-tuning open-source LLMs (LLaMA, Falcon, Mistral, etc.).
  • Background in information retrieval, vector databases (Pinecone, Weaviate, FAISS). Knowledge of evaluation frameworks for LLMs (HELM, OpenAI Evals, Ragas, etc.). Previous work in AI productization or enterprise-level AI solutions.

 

What We Offer:

  • Competitive compensation package.
  • Flexible working hours and remote-friendly culture.
  • Access to high-performance compute infrastructure.
  • Opportunities to work on groundbreaking AI projects in healthcare, security, and defense.

 

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