Minimum 15 - 20 years of overall experience in IT industry
Graduate / Post-Graduate in Computer Science and Engineering, Artificial Intelligence, Data Science or related field
At least 1 - 2 years of experience in architecting and building enterprise-level generative AI (GenAI) applications
At least 3- 4 years of working experience in any of the Cloud platforms (Azure or AWS or GCP)
Industry certifications in AI / ML, GenAI and Cloud technologies
Experience in deploying LLM models in cloud environments (e.g., AWS, Azure, GCP) and onpremises infrastructure along with LLM training, fine-tuning and inference life cycle
Ability to optimize LLM models for inference speed, memory efficiency, and resource utilization
Should be able to implement LangGraph-based agent workflows, prompt engineering strategies, and model evaluation frameworks
Familiarity with DevOps/MLOps practices for AI systems
* Knowledge about latest Industry trends and techniques in AI, GenAI and Cloud technology areas
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