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AI/ML Engineer

Irving, Texas, United States
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AI/ML Engineer - CREQ187889
Description
  • Looking for 7+ Years of experience in Python development with GENAI experience
  • 1 to 2 years of experience in Gen AI including hands on experience with exploratory data analysis, building data pipeline, model development and model evaluation.
  • A sound knowledge in theoretical and practical use of Machine Learning.
  • Hands on experience in developing deep learning models, preferable for Natural Language Processing applications.
  • Experience in using Generative AI including advanced prompting techniques and preferably fine tuning models.
  • Experience in building pipelines for use of externally hosted LLMs and preferably locally hosted LLMs.
  • Comprehensive experience and a detailed knowledge in implementing, enhancing and evaluating RAG implementations / pipelines.
  • Use of orchestrations layers such as LangChain for efficient use of LLMs.
  • Experience around evaluation frameworks for Generative AI, in the context of text generation. Eg RAGAs and TruLens.
Primary Location
Irving, Texas, United States
Job Type
Experienced
Primary Skills
Data-Kore.ai., Kore.ai
Years of Experience
6
Qualification
  • Looking for 7+ Years of experience in Python development with GENAI experience
  • 1 to 2 years of experience in Gen AI including hands on experience with exploratory data analysis, building data pipeline, model development and model evaluation.
  • A sound knowledge in theoretical and practical use of Machine Learning.
  • Hands on experience in developing deep learning models, preferable for Natural Language Processing applications.
  • Experience in using Generative AI including advanced prompting techniques and preferably fine tuning models.
  • Experience in building pipelines for use of externally hosted LLMs and preferably locally hosted LLMs.
  • Comprehensive experience and a detailed knowledge in implementing, enhancing and evaluating RAG implementations / pipelines.
  • Use of orchestrations layers such as LangChain for efficient use of LLMs.
  • Experience around evaluation frameworks for Generative AI, in the context of text generation. Eg RAGAs and TruLens.
Travel
No

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