Sr. Data Scientist (AI Lab)

4 Months ago • 4 Years +
Data Analysis

Job Description

AILAB is seeking a Data Scientist with an engineering spirit to monitor AI development and applications. The role involves exploring opportunities to apply cutting-edge algorithms in cybersecurity, aligning with the company's strategy to bring value to customers. The responsibilities include training large-scale deep learning models, managing experiments, and collaborating across teams. Candidates should possess strong analytical and problem-solving skills, along with a deep understanding of algorithms, data structures, and machine learning principles.
Good To Have:
  • Publications in AAAI, NIPS, ICML, ICLR, or KDD.
  • Experience with large volume data processing using Apache Spark, EMR, etc.
Must Have:
  • 4+ years of experience in data relevant domain.
  • Ability to train large scale deep learning models.
  • Solid computer science knowledge and data modeling skills.
  • Strong analytical and problem-solving abilities.
  • MLOPS experience and cross-team collaboration skills.

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AILAB is responsible to monitor the latest trending of AI development and application, we are looking for Data Scientist with engineer spirit. We will explore the opportunities how to apply practical or latest state-of-the-art algorithms in cybersecurity domain. Not only align to our company’s strategy and bring value to customers.


Qualification/Requirement


Essential

  • Minimum 4 years of industry experience in data relevant domain.
  • Ability to train large scale deep learning model, and manage large number of experiment.
  • Solid computer science knowledge, understanding of the general algorithm, data structures, data modeling, and system programming, broad knowledge of statistics, data mining, machine learning, artificial intelligence algorithms.
  • Outstanding analytical/problem-solving skills and ability to design experiments.
  • Experiences on MLOPS and cross team collaboration

Nice-to-have

  • Have papers published in one of the following 5 conferences, ex: AAAI, NIPS, ICML, ICLR, KDD
  • Large volume data processing experiences, ex: Apache Spark, EMR, airflow, etc.

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