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Mid-senior ML role, Hyderabad metro, broad LLM/backend skillset attracts many qualified applicants.
Specialized LLM, fine-tuning, and deployment expertise makes cross-industry fit limited.
Explicit 6-8 years plus mandatory LLM, Python, FastAPI and deployment experience.
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Develop and deploy production-ready Python applications and scalable backend APIs, focusing on AI/ML and data-driven chatbots using Large Language Models (LLMs).
Perform data processing, preprocessing, and integration of multiple data sources to support chatbot or AI workflows including fine-tuning, prompt engineering, and response quality optimization.
Lead and collaborate with teams on AI/ML backend engineering tasks, including testing (unit, integration, API) and deployment in cloud or server environments.
6-8 years of experience in Python development, AI/ML backend engineering, and API creation.
Hands-on expertise with Python (Pandas, NumPy), FastAPI, REST APIs, LLM workflows, fine-tuning, LLM evaluations, and pytest for testing.
Experience in deploying Python applications and AI/ML services on cloud or server environments.
Familiarity with designing backend services interacting with databases, vector stores, and external APIs.
Experienced in end-to-end AI/ML chatbot development leveraging LLMs with ability to optimize and evaluate model performance.
Skilled in scalable backend design, API development, and integrating heterogeneous data sources into unified AI systems.
Capable of leading teams technically and coordinating client communications on project requirements and progress.