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software codes during the software development lifecycle\nPropose, implement, and validate algorithms, ensuring functional and non-functional requirements such as\ntransparency, fairness, scalability, security, integration complexity and operational costs\nRequirements:\nBackground in engineering, computer engineering, computer science, mathematics, statistics or equivalent\nStrong technical knowledge in AI\nGood understanding of the latest research and technologies in AI for production deployment\nStrong coding experience in programming languages such as Python and/or C++\nExperience working with libraries for data manipulation, visualization, machine learning, and reporting.\nHands-on experience with one or more deep learning frameworks, e.g., TensorFlow, Torch\nExtensive experience with OpenAI and Claude code-based prompt engineering.\nHands-on experience developing and deploying AI Agents, RAG and vector/graph databases.\nStrong understanding of 3D geometry, vector math, and 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