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Collaborate with product owners, architects, and business stakeholders to understand functional requirements and translate them into AI-driven solutions.
Design, develop, and deploy generative AI models and frameworks for enterprise applications.
Integrate AI components into existing systems and ensure seamless interaction with other services.
Conduct research and experimentation to evaluate new AI techniques and frameworks for potential adoption.
Optimize AI models for performance, scalability, and cost-efficiency in production environments.
Monitor and maintain deployed AI solutions, ensuring reliability and compliance with security standards.
Document solution architecture, workflows, and operational guidelines for internal teams.
Participate in agile ceremonies, provide technical insights, and contribute to continuous improvement initiatives.
Skill
Generative AI Frameworks (e.g., OpenAI, Hugging Face, LangChain)
Python Programming
Prompt Engineering
Machine Learning & Deep Learning
Model Deployment (e.g., Docker, Kubernetes)
Retrieval-Augmented Generation (RAG) ,Agentic Frameworks , Azure AI Services
Key Skills
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