国产成人精品日本亚洲999,99久久久国产精品免费蜜臀 ,v一区无码内射国产,被调教的少妇雅芳1一19,国产成人a亚洲精v品无码

工作任務(wù)：
1、開發(fā)并優(yōu)化用于機器人系統(tǒng)中感知、決策和交互的人工智能模型
2、實施為嵌入式環(huán)境量身定制的計算機視覺、傳感器融合和機器學習管道
3、與跨職能團隊協(xié)作，將人工智能功能集成到機器人軟件棧中
4、在實際環(huán)境中評估并調(diào)整人工智能模型，以提升其性能、準確性和穩(wěn)健性
主要職責：
1、實施并訓練用于語音或傳感器數(shù)據(jù)的深度學習模型
2、針對嵌入式平臺（圖形處理器、張量處理器、神經(jīng)網(wǎng)絡(luò)處理器）優(yōu)化人工智能推理
3、創(chuàng)建數(shù)據(jù)集，定義評估指標，并進行嚴格測試
4、通過迭代更新監(jiān)控并改進已部署的人工智能模塊
5、在嵌入式系統(tǒng)上集成、部署和測試已訓練的人工智能模型
任職資格：
1、具備扎實的 C++ 和 Python 使用經(jīng)驗
2、了解人工智能 / 機器學習框架（PyTorch、TensorFlow、ONNX 等）
3、熟悉針對嵌入式系統(tǒng)（圖形處理器、張量處理器、神經(jīng)網(wǎng)絡(luò)處理器等）的模型優(yōu)化
4、擁有數(shù)據(jù)管理和標注經(jīng)驗（數(shù)據(jù)集創(chuàng)建、清理、標記）
5、具備以問題解決為導(dǎo)向的思維和注重交付的執(zhí)行力
6、具備與技術(shù)和非技術(shù)受眾良好溝通的能力
7、語言能力：法語和英語達到專業(yè)熟練水平
8、教育背景：計算機科學、機器人學、人工智能或相關(guān)領(lǐng)域的碩士學位（5 年制本科后教育）
9、工作經(jīng)驗：3 年應(yīng)用人工智能或機器學習經(jīng)驗，最好具備機器人或嵌入式系統(tǒng)領(lǐng)域經(jīng)驗
Mission:
-Develop and optimize AI models for perception, decision-making, and interaction in robotic systems.
-Implement computer vision, sensor fusion, and machine learning pipelines tailored for embedded environments.
-Collaborate with cross-functional teams to integrate AI features into the robotics software stack.
-Evaluate and tune AI models for performance, accuracy, and robustness in real-world conditions.
Main Responsibilities:
-Implement and train deep learning models for speech, or sensor data.
-Optimize AI inference for embedded platforms (GPU, TPU, NPU).
-Create datasets, define evaluation metrics, and perform rigorous testing.
-Monitor and improve deployed AI modules through iterative updates.
-Integrate, depoy and test trained AI models on embedded systems
Skills Required:
Technical:
-Strong experience in C++ and Python
-Knowledge of AI/ML frameworks (PyTorch, TensorFlow, ONNX…)
-Familiarity with model optimization for embedded systems (GPU, TPU, NPU…)
-Experience in data management & annotation (dataset creation, cleaning, labeling)
-Problem solving oriented thinking and delivery-focused execution
-Excellent communication skills across technical and non-technical audiences
Languages :
-Professional proficiency in French and English
Education：
Master’s degree (Bac+5) in Computer Science, Robotics, AI, or related field.
Experience:
-3 years in applied AI or ML, preferably in robotics or embedded systems.