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Gen AI Architect || On-site

Gen AI Architect || On-site

ConfidentialNoida, Bengaluru / Bangalore, Pune
6 days ago
Job description

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, langchain.

Responsibilities

  • 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.

    Qualifications we seek in you!

    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.
  • Skills Required

    Ai Development, Python, Statistical Analysis, AI ML

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