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About the role
Skillset Requirements: Experience: 5 10 years in data science Programming: Minimum 5 years in Python Machine Learning/NLP: At least 4 years LLM GenAI: Minimum 1.5 years with large language models and generative AI Database Management: At least 2 years with any database Cloud Deployment: 1+ years deploying ML models/Python apps on Azure or AWS LLMOps: Familiarity is a plus Role and Responsibilities: Leadership: Lead development, deployment, and optimization of ML, NLP, and LLM/GenAI solutions Pipeline Development: Develop and maintain Python-based ML pipelines; manage associated databases Model Deployment: Deploy AI models on Azure/AWS, ensuring performance and scalability Mentorship: Stay updated on ML, NLP, and GenAI advancements; mentor team members Best Practices: Implement LLMOps best practices for efficient model lifecycle management Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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