Job Description:
- Work cross-functionally with business owners/product managers/engineers, and designers throughout the whole process of the data science projects
- Apply machine learning, natural language processing in core subject areas including but not limited to: machine translation, chatbot, and fundamental language services
- Build, validate, test, and deploy AI models and algorithms
- Able to implement data science experimental framework to enable organization-wide data-driven practice
- Able to deliver high performance and stable machine learning services
Requirements:
- Minimum B.S. degree in Computer Science or a related technical field. Master or PhD in Computer Science, Statistics, Mathematics or fields related to NLP/Machine Learning/Deep Learning preferred
- At least 2 years of working experiences for B.S. and Master degree holder
- Excellent communication skills with the ability to identify and communicate data-driven insights and solutions
- Detail-oriented and efficient time manager who thrives in a dynamic and fast-paced working environment
- Familiar with Python and/or Golang development and Unix/Linux system experience
- Familiar with SQL (Mysql, Mssql, PostgreSQL, Hive, etc) experience
- Supervised/unsupervised learning, data engineering, feature engineering/optimization
- Deep understanding and good experience on the whole machine learning pipeline.
- Experienced in live service development and deployment
Preference will be given to candidates with the following additional requirements as below:
- Working experience in big data analytics and distributed databases or distributed systems (Hadoop, Spark, HBase, Cassandra etc.)
- Working experience with parallel algorithms in data modeling/ machine learning
- Working experience with Kuberenetes/ Docker
