Description

Key Skills:

  • Open AI
  • Cloud Infra
  • Azure Security
  • Gen AI
  • LLM

JD:

Experience Level 10 Plus years (with at least 2 to 3 years in AI/ML/GenAI)  

Key Responsibilities       

  • Design and implement GenAI architectures leveraging Microsoft Azure and Open AI models         
  • Lead solution architecture and integration of generative AI models into enterprise applications        
  • Collaborate with data scientists, engineers, and business stakeholders to define AI use cases and technical strategy            
  • Develop and optimize prompt engineering, model fine-tuning, and deployment pipelines    
  • Design scalable data storage and retrieval layers, using vector databases (e.g., Azure AI Search, Pinecone, or FAISS)       
  • Evaluate third-party GenAI APIs and tools for integration              
  • Ensure compliance with data security, privacy, and responsible AI guidelines          
  • Support performance tuning, monitoring, and optimization of AI solutions in production Stay updated with evolving trends in GenAI and Azure offerings, especially related to Open AI  

Required Skills and Qualifications            

  • Proven experience architecting AI/ML or GenAI systems on Azure              
  • Hands-on experience with Open AI, Azure OpenAI, and related Azure AI tools   
  • Strong understanding of LLMs, prompt engineering, and text generation frameworks
  • Proficiency in PL/SQL with advanced SQL and performance tuning              
  • Experience with MLOps, CI/CD pipelines, and AI model lifecycle management    
  • Solid knowledge of Python, APIs, RESTful services, and cloud-native architecture      
  • Familiarity with vector databases and semantic search concepts              
  • Strong communication and stakeholder management skills 

Preferred Qualifications              

  • Azure Cloud certifications           
  • Experience in model fine-tuning and custom LLM training            
  • Knowledge of LangChain, RAG (Retrieval-Augmented Generation) frameworks      
  • Exposure to data privacy regulations (GDPR, HIPAA, etc.)              
  • Background in natural language processing (NLP) and deep learning

Key Skills
Education

Any Graduate

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