Responsibilities:

• Hands-on experience with cloud platforms (Azure ) is a must  
  
• Azure infrastructure design and deployment using automation tools like Terraform and ARM template.  
  
• Experience in designing and implementing ML platforms, cognitive APIs 
  
• Experience in implementing container orchestration, serverless functions, API gateways, VMs, networking VPC, Azure RBAC, EntraID, App service plans etc.  
  
• Experience with MLOps , CI/CD, model monitoring, and automation  
  
• API integration and containerization (Docker, Kubernetes, AKS)
  
• Strong foundation in supervised/unsupervised learning, NLP, GenAI, and LLMs is a plus.  
  
• Skilled in prompt engineering, model fine-tuning, and evaluation  
  
• Building data pipelines and integrating structured/unstru...