JK0000-技術經理
17小时前
Hsinchu, 台灣
WNC Corporation
全职
通过电子邮件或 Google 免费
保存此职位并让您的搜索井井有条
创建一个免费帐户来保存职位、创建警报并从仪表板返回此列表。
通过电子邮件或 Google 免费
We are a leading company in the wireless broadband communications industry looking for talented professionals with a winning attitude.
Job Description
1. Data: Define & Design
- Define data quality standards and preprocessing workflows to ensure data integrity and consistency.
- Build analytical models and expand feature engineering strategies to support precise modeling and inference. 2. Design: Propose
- Design efficient AI architectures, implementing model pruning, quantization, and compression techniques for resource-constrained devices.
- Develop specialized algorithms to address key technical challenges in specific scenarios. 3. Develop & Deploy: Plan & Define
- Establish model development standards and strategies, guiding the team in adopting optimization tools and platforms.
- Develop highly scalable algorithms to support multi-platform model execution and deployment.
- Evaluate and optimize performance bottlenecks of model deployment on embedded and cloud platforms.
- Lead integration of model functionalities with hardware and firmware teams to ensure consistency between deployment and product architecture.
- Design testing specifications and verification processes to ensure system stability and delivery quality.
- Participate in product requirements and specification reviews, providing technical feasibility recommendations.
- Write and maintain technical documentation to support cross-team operations and extended development. 4. Documentation: Patent & Proposal document
- Systematically organize AI development processes and methodologies, writing structured technical documents and reports.
- Ensure technical outputs are traceable and valuable for knowledge transfer.
- Draft innovative proposals and patent documents, transforming technical achievements into company assets. 5. Integration: SW/HW
- Coordinate major technical projects across product lines and departments, consolidating software and hardware integration requirements.
- Serve as a bridge for technical consensus between departments, promoting standardization and system collaborative development. 6. Advanced Technologies: Research & Integrate
- Continuously research, apply, and integrate new AI technologies and industry trends, evaluating their applicability to products.
- Guide the team in acquiring new knowledge, building a technical knowledge base, and enhancing overall technical depth. Education Work Experience Language Skills C (Programming Language)、 C++ Programming Language、 CI/CD、 Deep Learning、 Docker (Software)、 Git Version Control System、 Kubernetes、 Machine Learning (ML)、 Machine Learning Operations、 Open Neural Network Exchange (ONNX)、 Python (Programming Language)、 PyTorch、 Tensorflow、 Torch (Machine Learning)
Job Description
1. Data: Define & Design
- Define data quality standards and preprocessing workflows to ensure data integrity and consistency.
- Build analytical models and expand feature engineering strategies to support precise modeling and inference. 2. Design: Propose
- Design efficient AI architectures, implementing model pruning, quantization, and compression techniques for resource-constrained devices.
- Develop specialized algorithms to address key technical challenges in specific scenarios. 3. Develop & Deploy: Plan & Define
- Establish model development standards and strategies, guiding the team in adopting optimization tools and platforms.
- Develop highly scalable algorithms to support multi-platform model execution and deployment.
- Evaluate and optimize performance bottlenecks of model deployment on embedded and cloud platforms.
- Lead integration of model functionalities with hardware and firmware teams to ensure consistency between deployment and product architecture.
- Design testing specifications and verification processes to ensure system stability and delivery quality.
- Participate in product requirements and specification reviews, providing technical feasibility recommendations.
- Write and maintain technical documentation to support cross-team operations and extended development. 4. Documentation: Patent & Proposal document
- Systematically organize AI development processes and methodologies, writing structured technical documents and reports.
- Ensure technical outputs are traceable and valuable for knowledge transfer.
- Draft innovative proposals and patent documents, transforming technical achievements into company assets. 5. Integration: SW/HW
- Coordinate major technical projects across product lines and departments, consolidating software and hardware integration requirements.
- Serve as a bridge for technical consensus between departments, promoting standardization and system collaborative development. 6. Advanced Technologies: Research & Integrate
- Continuously research, apply, and integrate new AI technologies and industry trends, evaluating their applicability to products.
- Guide the team in acquiring new knowledge, building a technical knowledge base, and enhancing overall technical depth. Education Work Experience Language Skills C (Programming Language)、 C++ Programming Language、 CI/CD、 Deep Learning、 Docker (Software)、 Git Version Control System、 Kubernetes、 Machine Learning (ML)、 Machine Learning Operations、 Open Neural Network Exchange (ONNX)、 Python (Programming Language)、 PyTorch、 Tensorflow、 Torch (Machine Learning)