Keylent Inc · 1 year ago
Gen AI Consultant MAHIN-JOB-37638
Keylent Inc is seeking a Gen AI Consultant with expertise in Parameter-Efficient Fine-Tuning and Lora fine-tuning techniques. The role involves building scalable systems for training and evaluating machine learning models, with a focus on NLP and AI software in the finance domain.
Cloud ComputingDeveloper APIsDeveloper PlatformDevOps
Responsibilities
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
Qualification
Required
5+ years building NLP/AI software professionally and successfully releasing to customers
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
Preferred
NLP Exp
Client/DL exp
LLM exp
LLM chatbot
Agent technology
Finance projects exposure
Company
Keylent Inc
Keylent provides Software Development Services in the Cloud, Analytics and Digital Transformation space.
Funding
Current Stage
Growth StageCompany data provided by crunchbase