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About the role
- Define and own the AI solution architecture for complex projects, ensuring scalability, security, and performance. - Collaborate with core engineering teams to integrate AI models into existing systems and workflows. - Evaluate and recommend appropriate AI frameworks, tools, and technologies for enterprise -grade deployments. - Establish best practices for model lifecycle management, including training, deployment, monitoring, and retraining. - Drive technical reviews, proof -of -concepts, and architecture validation for AI initiatives. - Mentor engineering teams on AI architecture principles and emerging technologies Requirements - Proven experience in AI/ML architecture and system design for large -scale applications. - Relevant minimum work experience of five years. - Robust knowledge of Python, TensorFlow/PyTorch, and cloud platforms (AWS/Azure/GCP). - Knowledge of AzureOpenAI and Microsoft Foundry is preferred. - Expertise in data engineering, distributed systems, and API integration. - Ability to translate business requirements into technical solutions. - Excellent communication and leadership skills to influence technical decisions .
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