Must Have: 

• Strong programming skills in Python 

• Experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras 
• Familiarity with document understanding tools such as OCR and text extraction techniques 
• Solid background in state-of-the-art generative AI, such as large language and multimodal models for different customer use cases 
• Solid understanding of ML/DL techniques, algorithms, and tools with exposure to CNN, RNN (LSTM), transformers (ViT, BERT, BART, GPT/T5, Megatron, LLMs)
  
  

Ways to Stand Out from the Crowd: 

• Experience with training large deep learning models and inference deployment 
• Familiarity with GPU-based technologies like CUDA, CuDNN, and TensorRT 
• Background with Dockers and Kubernetes and deploying machine learning models 
• Strong analytical and problem-solving abilities, with the capacity to multitask effectively in a dynamic environment 
• Show willingness and ability to dig into unfamiliar territories to tackle complex problems through examples in previous work 
• Strong communication and organization skills, with a logical approach to problem-solving, good time management, and task prioritization skills
  
  

Roles and Responsibilities: 

• Apply alignment techniques such as instruction tuning, reinforcement learning from human feedback (RLHF), and parameter-efficient fine-tuning such as P-tuning, adapters, LoRA, and so on to improve use cases
• Develop, train, fine-tune, and deploy LLMs for driving embodied conversational AI systems including multimodal understanding, speech synthesis, image generation, and dialog reasoning 
• Study and develop cutting-edge techniques in deep learning, graphs, machine learning, and data analytics, and perform in-depth analysis and optimization to ensure the best possible performance on current- and next-generation GPU architectures 
• Measure and benchmark model and application performance and analyze model accuracy and bias and recommend the next course of action and Improvements 
• Collaborate and innovate with various teams on new product features, improvements of existing products, and participate in developing and reviewing code, design documents, use case reviews, and test plan reviews