AI Engineer

5 days ago

Jakarta Metropolitan Area, Indonesia AJARI Full time

Company Description

Ajari Technologies
 is a forward-thinking technology company dedicated to building impactful and innovative digital solutions. We combine cutting-edge technology with a human-centered approach to create relevant, efficient, and sustainable products and services.

Founded with a vision to drive digital transformation across industries, Ajari Technologies has worked with businesses, educational institutions, and social organizations to develop customized digital platforms, tech-enabled learning systems, and smart applications tailored to their needs.

We believe that technology is not just about sophistication, but about creating real value and solving modern-day challenges. With a multidisciplinary team of developers, designers, and strategic thinkers, Ajari Technologies continues to innovate for a better, smarter future.

Role Description

This is a full-time on-site role for an AI Engineer (NLP). The AI Engineer will be responsible for working on Natural Language Processing (NLP) projects, developing and implementing machine learning solutions, and creating algorithmic models. Daily tasks will include coding, testing, and maintaining software applications.

Qualifications

  • Experience and knowledge of Neural Networks and Pattern Recognition
  • Experience in Software Development
  • Proficient in Natural Language Processing (NLP) proven by projects or related researches
  • Bachelor's degree in Computer Science, Electrical Engineering, or related field
  • Experience in the education or tech industry is a plus
  • 2+ years of experience in machine learning, natural language processing, or data science
  • Strong programming skills in Python or R and experience with deep learning frameworks such as TensorFlow and PyTorch
  • Advanced knowledge of NLP techniques such as text classification, sentiment analysis, named entity recognition, and topic modeling
  • Experience with data cleaning, preprocessing, and feature engineering techniques
  • Knowledge of data modeling and machine learning algorithms such as clustering, regression, and decision trees
  • Ability to write robust and testable code

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