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Generative AI Engineer - LLM Models

Generative AI Engineer - LLM Models

HR BEES ConsultantsNoida
7 days ago
Job description

AI Engineer :

In this role, we are seeking a highly skilled and experienced AI Engineer with hands-on expertise in Generative AI, AWS Bedrock, Azure Open AI, Document Intelligence tools, Huggingface, Agentic AI, and Advanced Data Pipelines. It's platforms semantic kernel, autogen, :

  • Architect and implement advanced generative AI models, focusing on applications such as image

and text generation, image and document extraction, RAG, Prompt engineering, and synthetic

data generation.

  • Advanced Prompt Engineering techniques. Stay at the forefront of AI / ML and generative AI

    • advancements, driving the adoption of new technologies and best practices within the team.

  • Develop, fine-tune, and optimize generative AI models, ensuring they meet performance,

    • scalability, and business objectives. Firm grasp on tools to compare outputs of each model and

    compare against each other.

  • Apply solid data science principles to enhance AI / ML models, using statistical analysis and

    • machine learning techniques to improve model accuracy and efficiency.

  • Work closely with data engineers, software developers, and product managers to integrate

    • generative AI models into products and services, aligning with business objectives.

  • Ensure that AI models are designed and deployed with ethical considerations, adhering to

    • industry standards and regulatory requirements.

    Minimum Qualifications / Skills :

  • Bachelors or Masters degree in computer science, AI, Machine Learning, Data Science, or a

    • related field, with 5+ years of experience in AI / ML, particularly with generative AI models.

  • Strong expertise in developing and deploying generative AI models. Proficiency in Python and

    • experience with AI development libraries such as TensorFlow and PyTorch. Experience with

    Azure OpenAI, Open Source LLMs, and LangChain.

  • Solid experience in applying data science principles, including statistical analysis, data

    • preprocessing, and machine learning, to enhance AI / ML models.

    Preferred Qualifications / Skills :

  • Familiarity with advanced techniques such as Retrieval-Augmented Generation (RAG),

    • fine-tuning, prompt engineering, and zero-shot learning.

  • Familiarity with NLP or computer vision related to generative AI applications.

    • (ref : hirist.tech)

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    Generative Ai Engineer • Noida