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趨勢科技 - 全球雲端資安領航者 / 全亞洲最大軟體公司 / 企業版圖橫跨五大洲 / 趨勢全球研發基地在台灣 
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Roles & Responsibilities:

Designing and Optimizing Large Language Models:

• Develop and fine-tune large language models tailored for specific applications.

Collaboration with MLOps Engineer:

• Work closely with MLOps engineers to prototype custom solutions, ensuring seamless integration with existing systems.

AI/ML Modeling Expertise:

• Demonstrate hands-on experience in AI/ML modeling, particularly with complex datasets.
• Possess a strong understanding of the theoretical foundations of AI/ML.

Production Environment Management:

• Efficiently manage large language models in production environments to enable (almost) real-time solutions.

ML Pipeline Development and Deployment:

• Build and execute ML pipelines, deploying models to enhance the accuracy of various process steps.

Competencies:

Natural Language Processing (NLP) Experience:

• Practical experience in NLP or a similar role.

Cloud Services Proficiency:

• Hands-on experience with ML cloud services on Azure or AWS, such as Azure ML, Amazon SageMaker, or MLFlow.

Programming Skills:

• Strong programming skills in languages like Python or Java.

Data Processing Expertise:

• Experience in large-scale data processing, including data collection, cleaning, and preprocessing.

UNIX/Linux Proficiency:

• Proficient in working with UNIX/Linux environments and command-line tools.

Analytical and Problem-Solving Skills:

• Demonstrate strong analytical and problem-solving abilities.

This position requires a candidate with a solid background in AI/ML, proficiency in handling large language models, and the ability to collaborate effectively with cross-functional teams. The ideal candidate should have practical experience in NLP, cloud services, programming, and data processing, coupled with a strong analytical mindset.

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