Sr. Machine Learning Engineer - Taipei

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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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• We are global infrastructure DevOps team who take responsibility of machine learning, services automation, Infrastructure as code, system/application development and operation with Scrum, CICD, container adoption for agile service delivery and future sustainability with security consideration on public cloud environment (AWS)

• The position would be responsible for building machine learning model for different machine learning projects with covering design, data process and automation to achieve security, operation optimization, efficiency and business goal
  

Security abnormal detection

Operation abnormal detection

Natural Language Processing with chatbot for service request auto dispatch

• Has the experience on machine learning project to develop/research algorithms and to translate algorithms into code
• Has the experience on effective data visualization
• Has the experience on programming language C#/Python/Java/Shell Script
• Able to work in DevOps mindset from leading/investigating DevOps tools to run the service and fast response in timely manner.
• Has the experience on CICD tool, ex. Jenkins, Kubernetes is a plus.
• Has the experience on security domain, ex. anti-malware, threat analysis is a plus.
  

Required Technical Expertise

• Experience in feature engineering, data processing, machine learning model development
  

Experience in effective data cleaning, exploration, and analysis.

Experience in Feature Engineering, Data Normalization, Encoding, Etc.

Experience in working with one or more ML Models (XGBoost, Isolation Forest, Random Forest, SVM, Etc.)

Experience in working with one or more Deep Learning Model Architectures (Autoencoders,LSTM,RNN,CNN,Transformers,Etc.)

Experience in conducting effective model testing and validation.

• Experience in solutions integration, tools development and programming
  

One or more of the following programming languages. Ex. C#, Python, Java, Shell Scripts

API Manipulation

Source Code Management using Git

Preferred Technical Expertise

• Experience in architecture and implementation of infrastructure designs in Public Cloud Environment in AWS and/or Azure.
  

AWS Sagemaker, Athena, Glue, S3 or other equivalent cloud services

Design high availability & fault tolerant ML infrastructure

Provide cloud advisory & advanced technical solutions

AWS Assoc. Solutions Architect/Machine Learning certification or equivalent skill

• Designing and implementing Data Pipelines on Cloud Infrastructure
• Project Management Experience
• Hands-on experience in container related technologies (e.g. Kubernetes, Docker, etc)
  

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連結智慧 守護世界 --- Connected Intelligence for Securing a Connected World