Data Scientist

Job Overview:

Generative AI

Key Responsibilities:

• Design, develop, and deploy scalable AI/ML models using LLMs
  
• Fine-tune transformer-based models for domain-specific applications
  
• Implement prompt engineering, RAG (Retrieval-Augmented Generation), and LLM evaluation techniques
  
• Work with vector databases and embedding techniques for semantic search and retrieval
  
• Build APIs and scalable endpoints for model deployment
  
• Collaborate with cross-functional teams to integrate AI solutions into products
  
• Ensure model quality, reproducibility, and maintainability using MLOps best practices
  
• Monitor and manage model lifecycle, performance, and retraining pipelines
  

Required Skills:

• Strong programming skills in

  Python

• Hands-on experience with

  Hugging Face Transformers

  ,

  PyTorch

  , or

  TensorFlow

• Expertise in

  LLMs

  ,

  Generative AI

  , and

  Deep Learning

• Experience in:
  
• Fine-tuning large language models
  
• Prompt engineering & LLM evaluation
  

• RAG (Retrieval-Augmented Generation)

• Knowledge of

  vector databases

  (e.g., FAISS, Pinecone, Weaviate)
• Proficiency in deploying models via

  Docker

  ,

  APIs

  , and

  cloud platforms

  (AWS, Azure, GCP)
• Understanding of

  ML Ops

  : model deployment, monitoring, and lifecycle management
• Strong

  analytical

  ,

  problem-solving

  , and

  communication

  skills