Description

Key Skills:

  • NLP Exp
  • Client/DL exp
  • LLM exp
  • LLM chatbot
  • Pytorch, TF, Transformers etc
  • Agent technology
  • AWS Bedrock AI models
  • Conv AI agents
  • Finance projects exposure

Detailed JD: (Hands on experience)

  • 5+ years building NLP/AI software professionally and successfully releasing to customers.
  • Candidate with expertise in the Finance domain, the ideal candidate should possess expertise in Parameter-Efficient Fine-Tuning (PEFT) and Lora fine-tuning techniques.
  • 5+ years of hands-on experience in building scalable systems for training & evaluating of machine learning/deep learning models.
  • Experience with state-of-the-art NLP algorithms and AI models, Multi-modal LLMs, Multi-modal contrastive learning, Foundation models, Diffusion based models and parameter efficient fine tuning of LLMs.
  • Familiarity with deploying model for large scale inferencing & optimizations.
  • Solid understanding of inference speed up techniques such as speculative decoding and optimization of LLMs for human preferences.
  • Strong proficiency in PyTorch, TensorFlow, Transformers, Kubernetes, Docker, LangChain, vectorDB and cloud platforms like AWS, GCP, or Azure
  • Knowledge of Agent technology
  • Experience on AWS Bedrock AI models.
  • Experience in building Conversational AI agents
  • Worked in Finance domain projects


 

Key Skills
Education

Any Graduate

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