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AI/NLP Engineer

UMG Myanmar
Mayangone | Yangon
Verified This job has been verified by the company as a real job vacancy.
19 Aug 2022
Recruiter active 1 week ago The recruiter at this company was last active reviewing applications.
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AI/NLP Engineer

UMG Myanmar
Recruiter active 1 week ago The recruiter at this company was last active reviewing applications.
Myanmar - Yangon
Verified This job has been verified by the company as a real job vacancy.

Experience level

Experienced Non-Manager

Job Function

IT Hardware, Software

Job Industry

IT/Computer

Min Education Level

Bachelor Degree

Job Type

Full Time

Job Description

A Fantastic Opportunity for ...

  • Research and Develop NLP Algorithms
  • Solve real-world scenarios for user commands and requests
  • Perform statistical analysis of results and refine models
  • Build data collection and preparation pipelines
  • Identify the proper tooling and frameworks
  • Conceive, design, and develop NLP applications
  • Deploy and host train models at the production server
  • Communicate with the Business/Customer team
  • Make documentation on every research and experiment and discuss it with the team
  • Give a presentation weekly about the improvement of a week

Open To

New graduates
Male/Female

Job Requirements

  • Bachelor's or master's degree in IT or related field
  • Minimum 2 years experience designing and launching NLP applications in a similar role.
  • Minimum of 2 years experience in programming using Python
  • Experience in machine learning platforms, frameworks, and libraries (e.g. TensorFlow/Keras, PyTorch, scikit-learn, OpenCV, or Spacy and in developing on cloud platforms (on AWS, GCP, or Azure)
  • Engaged in planning, analysis, and implementation phases of the project
  • Hands-on experiences in projects related NLP, Speech Processing, Data Science, and Third parties integrations
  • Excellent Verbal and Written Communication (English, Myanmar).

What We Can Offer

Benefits

- Ferry Provide
- Overtime allowance
- Travelling allowance
- Award

Highlights

- Work with fun
- Make difference
- Join an experience team

Career Opportunities

- Monthly training provide
- Management potential
- Promotion opportunities
- Learn new skills on team