Position:- AI/ML Architect
Location:- Las Vegas NV ( 3 days hybrid in week)
Duration: Long term contract opportunity
Required Exp: 15 years
Job Description:
Responsibilities:
Design develop and implement Generative AI models leveraging RAG techniques to improve the performance of AI-driven applications.
Collaborate with cross-functional teams to gather requirements and deliver high-quality solutions that meet business objectives.
Optimize and fine-tune existing AI models for enhanced accuracy and efficiency.
Conduct experiments and analyze results to iterate on model architecture and training strategies.
Stay updated with the latest advancements in AI machine learning and RAG methodologies to drive innovation within the team.
Requirements:
Bachelors or Masters degree in Computer Science Data Science Artificial Intelligence or a related field.
Proven experience in developing Generative AI models with a strong understanding of RAG programming techniques.
Proficiency in programming languages such as Python Java or similar.
Hands-on experience with machine learning frameworks and libraries (e.g. TensorFlow PyTorch Hugging Face Transformers).
Strong understanding of natural language processing (NLP) concepts and techniques.
Experience with cloud computing platforms (e.g. AWS Azure Google Cloud) is a plus.
Experience with generative AI platforms (e.g. lightningai evidentlyai etc.) is a plus
Thanks
Sanjay Kumar
Position:- AI/ML Architect Location:- Las Vegas NV ( 3 days hybrid in week) Duration: Long term contract opportunity Required Exp: 15 years Job Description: Responsibilities: Design develop and implement Generative AI models leveraging RAG techniques to improve the performance of AI-driv...
Position:- AI/ML Architect
Location:- Las Vegas NV ( 3 days hybrid in week)
Duration: Long term contract opportunity
Required Exp: 15 years
Job Description:
Responsibilities:
Design develop and implement Generative AI models leveraging RAG techniques to improve the performance of AI-driven applications.
Collaborate with cross-functional teams to gather requirements and deliver high-quality solutions that meet business objectives.
Optimize and fine-tune existing AI models for enhanced accuracy and efficiency.
Conduct experiments and analyze results to iterate on model architecture and training strategies.
Stay updated with the latest advancements in AI machine learning and RAG methodologies to drive innovation within the team.
Requirements:
Bachelors or Masters degree in Computer Science Data Science Artificial Intelligence or a related field.
Proven experience in developing Generative AI models with a strong understanding of RAG programming techniques.
Proficiency in programming languages such as Python Java or similar.
Hands-on experience with machine learning frameworks and libraries (e.g. TensorFlow PyTorch Hugging Face Transformers).
Strong understanding of natural language processing (NLP) concepts and techniques.
Experience with cloud computing platforms (e.g. AWS Azure Google Cloud) is a plus.
Experience with generative AI platforms (e.g. lightningai evidentlyai etc.) is a plus
Thanks
Sanjay Kumar
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