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Job Summary


Job Type
Permanent

Seniority
Mid

Years of Experience
At least 3 years

Tech Stacks
TensorFlow
PyTorch
kafka
Python

Job Description


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We are looking for a talented software engineer that has a deep understanding of Deep Learning and experience deploying models in production. You will have the role of improving MeetKai's Machine Learning capabilities across Search, NLU, Personalization and Online Learning. ML theoretical knowledge, while useful, is not as necessary as the ability to test and deploy models and large scale datasets.Building a next-gen virtual assistant that can understand complex utterances and speak new languages will be a big part of your role, along with designing and implementing a highly intuitive experience for our users. This is your opportunity to help usher a new era of human - computer interactivity, and be part of our ambitious and dynamic team.

Responsibilities
  • Design and train personalization models, providing insights towards innovative new approaches and features tailored to users in APAC
  • Engineering Natural Language Processing and Speech components specific to your language
  • Using the power of large amount of data to tackle complex NLP and deep learning problems
  • Develop processes for automatic deployment of machine learning models upon improvements and train deep learning models at scale
  • Productionize trained models (potentially on edge)

Requirements
  • Degree in Computer Science, Information Systems or equivalent experience
  • 3+ years of experience with Python
  • 3+ years of experience with Pytorch or Tensorflow
  • Demonstrate ability to write thoughtful, maintainable code under tight deadlines in a fast paced environment
  • Relevant work experience in Natural Language Processing, Deep Learning or related sub-fields

Nice to have
  • Has worked in industry for more than 2 years
  • Proven ability of using creative approaches for solving complex problems
  • Experience with deploying ML models in the cloud or on edge devices
  • Have experience with distributed queueing technologies like Kafka
  • Experience with online learning algorithms and models
  • Fluency in a 2nd language: Chinese, Indonesian, Japanese, Hindi, Spanish, German, French, Italian

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