Data / Machine Learning Engineer

Graphen

Graphen work environment photoGraphen work environment photoGraphen work environment photo

Job Description

Data / ML talent are working with an incredibly innovative start-up, who have developed AI solutions for different industries, are looking for Data / ML Engineer to play an integral part with US AI and Data team. You'll be joining the development of a robust platform and building and maintaining the data infrastructure, apply ML/DL algorithms for various solutions that creates a platform and gives power to Data Science, Machine Learning, Product, Marketing & Sales - this really is an integral role in the business.

【What you'll do】

  • Implement Data Infrastructure
  • Onsite visit (domestic and oversea) customers (large domestic or international finance institute) to analyze their data for solution
  • Developing data tools that support self-service data pipeline management (ETL).
  • Apply graph analytics for extraction complicated implicit features
  • Research and build mathematical / ML models to predict
  • Work with software architect and developers to deliver solution


【Minimum qualifications】

  •  Entrepreneur spirit and autonomous
  • Skillful in Python script
  • Experience with scientific, NLP, or image analysis libraries (e.g. NumPY, SciPY, Pandas, Scikit, NLTK, spaCY, OpenCV, Pillow, itk)
  • Knowledge of graph database, graph analytics, and graph theory and algorithms
  • Familiar with machine learning and deep learning algorithms, models, and training tools like Tensorflow
  • Deep and solid background of statistics and probability
  • 1+ years of machine learning experience – preferably in real word problems
  • Experience with feature engineering of graph analytics and various sources of raw data
  • Proven success in communicating with users to understand requirements, explain data modeling decisions and data engineering strategy
  • Jupyter and pip development and maintenance
  • Experience in ETL or Big Data analysis for data aggregation, cleanness, and normalization for features extraction
  • 英語讀寫能力
  • 熟悉一種關聯式資料庫以上: Oracle, MS SQL server, MySQL/MariaDB, PostgreSQL

【Plus】

  • Dealt with data in BFSI (Bank/Finance Service/Insurance), medical industry before
  • Experience working closely with Engineering, Product, and Analytics/Data Science teams
  • Experience in other object oriented programming like C++, Java, go with OOD
  • Experience with modern ETL tools
  • Experience with modern DWH environments
  • Masters or PhD in computer science, mathematics, statistics, economics, or other quantitative field

【 Others】

  • Team player and collaboration
  • Analytical and detail oriented
  • Attitude of can do and solve problem independently

Salary

40K+ TWD/month

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Graphen

台北市松山區光復南路65號13F

About us

Graphen builds next-generation Artificial Intelligence (AI) platforms based on graphs to produce full brain functions and create novel industry solutions. Headquartered in New York, the company currently has regional offices in Austin, TX, Beijing, Hong Kong, Shanghai, Singapore and Taiwan. Graphen's two main offerings are AI Foundation and AI Finance. Graphen AI Foundation includes next-generation AI Platform Ardi, AI Security and AI Medical. Our AI Finance provides AI Banking, AI Investment, AI Insurance and AI Legal solutions. Our system consists of ground-breaking technologies mimicking full functions of the brain. It provides a competitive advantage through large-scale artificial intelligence knowledge building, recognition, feeling, reasoning and strategic thinking that can hardly be matched by humans alone. Graphen's next-generation technologies include Linked Big Data, Advanced Visualization, Autonomous Learning, Cognitive Feeling, Machine Reasoning, Strategic Thinking, Human Understanding and Prediction.

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