Innovative AI Architect Leader

3 days ago

Aligarh, Uttar Pradesh, India beBeeGenerativeaiarchitect Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Role Overview

A highly skilled Generative AI Architect is required to lead the design and architecture of cutting-edge GenAI solutions using Large Language Models (LLMs) and advanced conversational AI frameworks.

Key Responsibilities
  • Solution Architecture: Develop innovative GenAI solutions by designing and architecting scalable, secure, and efficient LLM-based systems.
  • Model Development: Fine-tune LLMs and Sparse Language Models (SLMs) using techniques like Prompt Engineering for Fine-Tuning (PEFT), LoRA, and Quantized LoRA (QLoRA) for domain-specific use cases.
  • Open-Source Frameworks: Utilize open-source tools like Hugging Face, LangChain, LangGraph, and AutoGen to build and deploy GenAI applications.
  • GCP Expertise:
  • Design, deploy, and optimize AI solutions using GCP services such as Vertex AI, BigQuery, AI Platform, and Cloud Functions.
  • Integration and Deployment:
  • Integrate generative AI models into enterprise systems and applications.
  • Implement robust MLOps practices, including Continuous Integration/Continuous Deployment (CI/CD) pipelines, and containerization using Docker and Kubernetes.
  • Coding and Development: Write clean, maintainable Python code for GenAI applications.
  • Data Preprocessing: Build and maintain data pipelines for training and fine-tuning models.
  • Model Evaluation: Evaluate model performance using relevant metrics and benchmarks; iterate to improve outcomes.
  • Prototyping:
  • Rapidly prototype GenAI applications to demonstrate capabilities.
  • Drive innovation through fast experimentation and proof-of-concept development.
  • Research & Innovation: Stay current with emerging trends in GenAI and contribute to the evolution of AI architecture and development practices.

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