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Minimum qualifications: Bachelor's degree or equivalent practical experience. 6 years of experience with cloud native architecture in a customer-facing or support role. Experience with big data and machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn. Experience engaging with, and presenting to, technical stakeholders and executive leaders. Preferred qualifications: Experience with building Machine Learning (ML) Solutions, Machine Learning Operations frameworks like kubeflow,

Minimum qualifications: Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, or related field, or equivalent practical experience. 5 years of experience with ML/AI frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). Experience with hardware description languages (e.g., Verilog, SystemVerilog, VHDL). Experience with applying ML/AI techniques. Preferred qualifications: Experience with ML/AI applications in hardware design, verification and Low Power

＊請至 【 https://mobagel.typeform.com/to/ojShbwVv 】 投遞履歷，謝謝你的協助＊ Job Function -Analyze and interpret large datasets using Pandas, NumPy, and Scikit-Learn -Develop and deploy predictive models to solve complex business problems -Optimize data pipelines and ETL processes for efficiency -Collaborate with engineering teams to integrate data science solutions into production systems Your Impact -Drive data-informed decision-making across the organization -Deliver insights