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Niche LLM/PySpark production skills but Bangalore metro and recognizable consulting brand increase competition.
Medium — ML, cloud and backend skills transfer across industries, but production LLM and PySpark experience narrows fit.
High — multiple mandatory technical skills (LLMs, PySpark, Azure, Python, CI/CD) tighten screening.
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Design, develop, and maintain scalable backend APIs and microservices using Python frameworks such as Django, Flask, and FastAPI.
Build, integrate, and deploy AI/ML models including Large Language Models and Retrieval Augmented Generation into production systems leveraging Azure and AWS AI services.
Manage cloud infrastructure on Azure, oversee deployment lifecycles with CI/CD pipelines using GitHub and Jenkins across VM servers and cloud environments.
Strong proficiency in Python and experience with Django, Flask, or FastAPI frameworks.
Experience in AI/ML technologies including working with LLMs and RAG architectures, and big data processing using PySpark.
Experience in Azure Cloud administration and deployment on VM servers and cloud environments, along with CI/CD tools like GitHub and Jenkins.
Work Experience Required: Not explicitly mentioned in the JD.
Demonstrated ability to architect and deploy high-performance microservices and AI-driven backend systems in cloud environments.
Experience with integrating cutting-edge AI models (LLMs, RAG) into scalable production pipelines using Azure and AWS AI services.
Familiarity with end-to-end deployment processes including CI/CD pipeline management and cloud infrastructure administration.