Required Skills and Qualifications
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
Required Skills:
AIGenAICloudRAG
Required Skills and Qualifications 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 generat...
Required Skills and Qualifications
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
Required Skills:
AIGenAICloudRAG
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