Technical Architect- Python & AI/ML

Hyderabad

Roles and Responsibilities

  • Design and architect complex Generative AI solutions using AWS technologies
  • Develop advanced AI architectures incorporating state-of-the-art GenAI technologies
  • Create and implement Retrieval Augmented Generation (RAG) and Graph RAG solutions
  • Architect scalable AI systems using AWS Bedrock and SageMaker
  • Design and implement agentic AI systems with advanced reasoning capabilities
  • Develop custom AI solutions leveraging vector databases and advanced machine learning techniques
  • Evaluate and integrate emerging GenAI technologies and methodologies

Required Skills & Qualifications:

Generative AI Technologies

  • Expert-level understanding of
    • Retrieval Augmented Generation (RAG)
    • GraphRAG methodologies
    • LoRA (Low-Rank Adaptation) techniques
    • Vector Database architectures
    • Agentic AI design principles

AWS AI Services

  • Comprehensive expertise in:
    • AWS Bedrock
    • Amazon SageMaker
    • AWS AI/ML services ecosystem
    • Cloud-native AI solution design

Technical Skills

  • Advanced Python programming for AI/ML applications
  • Comprehensive expertise in:
    • Large Language Models (LLMs)
    • Machine Learning architectures
    • AI model fine-tuning techniques
    • Prompt engineering
    • AI system design and integration

Core Competencies

  • Advanced AI solution architecture
  • Machine learning model optimization
  • Cloud-native AI system design
  • Performance tuning of GenAI solutions
  • Enterprise AI strategy development

Technical Stack·

  • Programming Languages: Python (required)·
  • Cloud Platform: AWS·
  • AI Technologies:
    • Bedrock
    • SageMaker
    • Vector Databases
  • Machine Learning Frameworks:
    • PyTorch
    • TensorFlow
    • Hugging Face
  • AI Integration Tools:
    • LangChain
    • LlamaIndex

We Offers :

  • Opportunity to work on technical challenges with global impact.
  • Vast opportunities for self-development, including online university access and sponsored certifications.
  • Sponsored Tech Talks & Hackathons to foster innovation and learning.
  • Generous benefits package including health insurance, retirement benefits, flexible work hours, and more.
  • Supportive work environment with forums to explore passions beyond work.

This role presents an exciting opportunity for a motivated individual to contribute to the development of cutting-edge solutions while advancing their career in a dynamic and collaborative environment.

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