AI Technology Architect
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Role details
Tech stack
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Requirements
At least 11 years of experience in Information Technology
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At least 6 years of experience in AI, data engineering, creating data pipelines and processing huge volume of data.
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At least 5 years of experience in Machine learning engineering /MLE , data science and data engineering, with a proven track record of delivering impactful solutions
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Architectural Optimization - Experience in optimization of solution architectures with a focus on data security, privacy, application reliability, infrastructure scalability, and cost-efficiency for Data Science and Generative AI platforms
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Scalable AI Solution Deployment - Experience in designing and implementing scalable AI and Data Science solutions capable of handling large-scale, distributed data and compute workloads across hybrid and cloud-native environments(OCI)
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Performance Tuning for AI/ML and GenAI Workloads - Experience in hyperparameter tuning and performance optimization for AI/ML and Generative AI models to maximize accuracy, efficiency, and resource utilization
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AI Full stack: Experience in in any full stack /development experience in pyhon or Java, or .Net or React, Node.js, Flask/Django, REST APIs
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Proficiency in Python, SQL, and machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch
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Prepare application
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