| Gen AI Consultant | Austin, TX This position requires working onsite from office at Austin, Texas, USA |
| Email: [email protected] |
| Role: Gen AI Consultant Location: Austin, TX This position requires working onsite from office We are looking for an ideal candidate who possesses the expertise in Parameter-Efficient Fine-Tuning (PEFT) and Lora fine-tuning techniques. Key Skills: NLP Exp ML/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 Thanks & Regards, Irfan Shaik P : 972-440-0069 Cell No: 647-375-2228 Agile Enterprise Solutions Inc. 2591 Dallas Parkway,Suite 300, Frisco,TX 75034. Email: [email protected] Website: www.aesinc.us.com -- Keywords: artificial intelligence machine learning information technology California Texas Gen AI Consultant | Austin, TX This position requires working onsite from office [email protected] |
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| Mon Aug 19 21:43:00 UTC 2024 |