Machine Learning Engineer

Location: Remote

*** Mention DataYoshi when applying ***

Machine Learning (ML) Engineer to create natural language understanding modules and/or artificial intelligence products. The Candidate should be able to create machine learning pipelines that include data cleaning, pre-processing, training, and multi-model deployments targeting high-performance servers to low-power devices.

  • Study and transform data science prototypes.
  • Design machine learning systems.
  • Research and implement appropriate ML algorithms and tools.
  • Develop ML applications according to requirements.
  • Select appropriate datasets and data representation methods.
  • Run ML tests and experiments.
  • Perform statistical analysis and fine-tuning using test results.
  • Train and re-train systems when necessary.
  • Extend existing ML libraries and frameworks.
  • Keep abreast of developments in the field.
  • Various assigned tasks/projects.

  • 3+ years of experience.
  • Experience using Kubernetes for highly scalable ML applications.
  • Experience building ML applications using Tensorflow Lite on iOS/Android devices.
  • Experience and strong knowledge in frameworks such Pytorch and/or Tensorflow.
  • Strong general software development skills (source code management, debugging, testing, deployment, etc).
  • Experience in state-of-the-art NLP technologies such as Glove, BERT, and ALBERT.
  • Thorough understanding of text preprocessing and normalization techniques (tokenization, lemmatization, stemming, POS tagging, and parsing).
  • Working experience in Software Development Lifecycle, Agile Methodologies, and Continuous Integration.
  • Ability to write robust code in Python, Go, and C++.
  • Excellent communication skills.
  • Ability to work closely in a team.
  • Outstanding analytical and problem-solving skills.

*** Mention DataYoshi when applying ***

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