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Tier-2 brand, metro locations, and mid-level AI role increase candidate competition.
Requires specialized ML/LLM and cloud skills, moderately limiting cross-industry transferability.
Explicit 4–6 years plus mandatory AI, cloud, Python, and PySpark requirements make filters strict.
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Design, develop, and maintain scalable Python-based APIs and microservices using frameworks like Django, Flask, and FastAPI.
Build, integrate, and optimize AI/ML models including LLMs and RAG within production systems, leveraging Azure and AWS AI services.
Manage Azure Cloud environments, oversee deployment lifecycles, and maintain CI/CD pipelines using GitHub and Jenkins across VM servers and cloud infrastructure.
4 to 6 years of experience in software development in AI/ML and backend roles.
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
Strong proficiency in Python programming and frameworks (Django, Flask, FastAPI) with proven API/microservices development experience.
Hands-on experience with LLMs, RAG architectures, PySpark for big data processing, Azure Cloud administration, and CI/CD tools (GitHub, Jenkins).
Experienced in designing AI-driven backend architectures with scalable microservices in cloud environments (Azure preferred).
Proficient in deploying and maintaining AI/ML solutions, specifically involving Large Language Models and Retrieval Augmented Generation techniques.
Demonstrates solid operational expertise in cloud administration and DevOps practices, managing CI/CD pipelines and application deployment on VM servers and cloud platforms.