Develop, Train, Finetune, and Deploy large language models for text completion and chats in different applications including coding, NLU, NLG, IRQA, machine translation, and dialog, reasoning, and tool systems; Apply instruction tuning, reinforcement learning from human feedback (RLHF), and parameter efficient finetuning such as p-tuning, adaptors, Lora, and so on to improve LLMs for different use cases; Measure and benchmark model and application performance; Analyze model accuracy and bias and recommend the next course of action & Improvements; Maintain model evaluation systems
Requirements:
Master’s degree (or equivalent experience) or PhD in Computer Science, Electrical Engineering, Artificial Intelligence, or Applied Math with 3+ years of experience; Excellent programming skills in Python with strong fundamentals in programming, optimizations and software design; Strong knowledge of ML/DL techniques, algorithms, and tools with exposure to CNN, RNN (LSTM), Transformers (BERT, BART, GPT/T5, Megatron, LLMs); Hands-on experience on conversational AI Technologies like Natural Language Understanding, Natural Language Generation, Dialog systems (including system integration, state tracking and action prediction), Information retrieval and Question and Answering, Machine Translation etc
Text:
Machine Learning Engineers Develop, Train, Finetune, and Deploy large language models for text completion and chats in different applications including coding, NLU, NLG, IRQA, machine translation, and dialog, reasoning, and tool systems; Apply instruction tuning, reinforcement learning from human feedback (RLHF), and parameter efficient finetuning such as p-tuning, adaptors, Lora, and so on to improve LLMs for different use cases; Measure and benchmark model and application performance; Analyze model accuracy and bias and recommend the next course of action & Improvements; Maintain model evaluation systems Master’s degree (or equivalent experience) or PhD in Computer Science, Electrical Engineering, Artificial Intelligence, or Applied Math with 3+ years of experience; Excellent programming skills in Python with strong fundamentals in programming, optimizations and software design; Strong knowledge of ML/DL techniques, algorithms, and tools with exposure to CNN, RNN (LSTM), Transformers (BERT, BART, GPT/T5, Megatron, LLMs); Hands-on experience on conversational AI Technologies like Natural Language Understanding, Natural Language Generation, Dialog systems (including system integration, state tracking and action prediction), Information retrieval and Question and Answering, Machine Translation etc
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