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GeBBS Healthcare Solutions Linkedin · Posted 1mo ago

GeBBS - Technical Architect - Data Science

India

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Role And Responsibilities

  • Solution Design : Architect the development of AI solutions from conceptualization to deployment.
  • Leadership : Lead the development, deployment, and optimization of machine learning (ML), natural language processing (NLP) models, and LLM/GenAI solutions.
  • Pipeline Development : Develop and maintain Python-based ML pipelines and manage associated databases.
  • Model Deployment : Deploy AI models on Azure/AWS, ensuring optimal performance and scalability.
  • Mentorship : Stay updated on advancements in ML, NLP, and GenAI, and mentor team members to enhance their skills and knowledge.
  • Best Practices : Implement LLMOps best practices for efficient management of the model lifecycle.

Skillset Requirements

  • Experience : 8 to 11 years of relevant experience in data science.
  • Programming : Minimum of 8 years of experience in Python programming.
  • Machine Learning/NLP : At least 8 years of experience in machine learning and natural language processing.
  • LLM and GenAI : A minimum of 2 years of experience with large language models (LLMs) and generative AI (GenAI).
  • Agentic AI : A minimum of 1 year of experience with Agentic AI.
  • Database Management : At least 8 years of experience with any database.
  • Cloud Deployment : 4+ years of knowledge in deploying ML models/Python applications on Azure or AWS.
  • LLMOps : Familiarity with LLMOps is mandatory.

(ref:hirist.tech)
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