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Tier-1 brand, mid-level ML role, Bangalore location and broad skillset increase candidate competition.
Generative AI specialization, LLM fine-tuning, and vector DB experience limit cross-industry transferability.
Explicit 5+ years and mandatory ML, Python, LLM, cloud, and containerization skills enforce strict screening.
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Design, develop, test, and maintain scalable backend applications and high-performance APIs using Python frameworks like Flask or Django.
Build and deploy Generative AI applications leveraging LLMs (e.g., GPT-4, Claude, Gemini) and orchestrate multi-agent systems with tools such as LangChain or AutoGen.
Implement advanced retrieval pipelines using vector databases and integrate third-party APIs ensuring optimized speed and scalability.
5+ years of professional experience in Python development and machine learning frameworks.
Degree: B.Tech/M.Tech/MCA in Computer Science, Electrical, or ETCE fields.
Strong proficiency in Python 3.x, Python frameworks (Django, Flask, or FastAPI), RESTful APIs, and backend integration with databases and message queues.
Experience with DevOps practices including Docker, Kubernetes, CI/CD pipelines; familiarity with cloud platforms (AWS, Azure, or GCP).
Experienced in building and deploying production-level GenAI / LLM applications with fine-tuning techniques such as LoRA, QLoRA, or PEFT.
Skilled in designing and orchestrating multi-agent AI systems and implementing advanced retrieval-augmented generation pipelines using vector databases.
Comfortable working with asynchronous programming, microservices architecture, and large-scale data processing (PySpark experience preferred).