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Tier-1 brand and Hyderabad metro boost applicant density, tempered by specialized LLM seniority.
Requires deep ML/LLM and cloud engineering expertise, limiting cross-industry transferability.
Explicit 8–12 years, 3+ lead requirement, and mandatory LLM, Python, and cloud skills.
Lead development strategies and architecture for AI/ML-driven, scalable backend data pipelines and systems focused on financial data products.
Design, fine-tune, and deploy small and open-source large language models (LLMs) and build reusable AI/ML pipelines using Python and modern frameworks (Hugging Face, LangChain, etc.).
Architect, deploy, and scale AI/ML cloud solutions primarily on AWS, including serverless and containerized environments, while driving DevOps best practices and operational excellence.
8-12 years software development experience, including 3+ years in senior or lead roles delivering ML/AI solutions in cloud environments.
Strong expertise in LLM prompt engineering, few-shot prompting, fine-tuning using frameworks like Hugging Face and LangChain.
Mastery of Python for API and microservices development using frameworks such as FastAPI, Flask, or Django.
Hands-on experience with cloud deployments (AWS preferred), containerization (Docker/K8s), serverless computing, and infrastructure as code tools (CloudFormation/Terraform).
Technically strong leader able to mentor engineers and lead system architecture and code quality reviews across teams.
Experienced in integrating LLMs and AI/ML pipelines into production systems at scale in cloud-first environments.
Skilled in explaining complex technical subjects and influencing multi-disciplinary teams regarding AI/ML and backend architectural decisions.