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Tier-1 employer and Hyderabad location increase applicant density despite niche LLM specialization.
Strong LLM, PyTorch, and cloud ML requirements limit cross-industry transferability.
Explicit 7–8 years plus 5+ years LLM and specific ML stack makes filters highly stringent.
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Design, develop, and deploy AI/ML models including large language models (LLMs) from providers like OpenAI and Anthropic.
Develop and optimize Retrieval-Augmented Generation (RAG) systems and integrate AI capabilities into applications with cross-functional teams.
Experiment, analyze model performance, and stay updated with latest AI/ML advancements to propose innovative solutions.
7 to 8 years of software development experience.
5+ years experience specifically working with large language models such as GPT-4 or Claude.
Strong proficiency in Python and AI/ML libraries (e.g., PyTorch, TensorFlow).
Location requirement: Hyderabad with hybrid working hours (2:30 PM IST to 11:30 PM IST).
Experienced AI/ML engineer with deep hands-on expertise in working and optimizing large language models and RAG systems.
Familiar with cloud-based ML platforms like AWS SageMaker or Databricks to deploy and manage ML workflows.
Able to collaborate across teams to integrate AI solutions into production environments and improve model outcomes.