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Gen AI Consultant | Onsite at Remote, Remote, USA
Email: [email protected]
NO GC or USC

Passport number must for submission

Role: Gen AI Consultant

Location:
Austin, TX This position requires working onsite from office

We are
looking for an ideal candidate who possess 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

--

Keywords: artificial intelligence machine learning information technology green card Texas
Gen AI Consultant | Onsite
[email protected]
[email protected]
View all
Fri Jul 26 20:24:00 UTC 2024

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Location: Austin, Texas