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AI Engineer

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Hybrid

AI Engineer

Elite WorldGroup Services Inc.

AI Engineer

Skills

Deep LearningPythonJavaMachine LearningAINLP / Natural Language Processing

2 months ago

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Important information


Contract type:

Permanent

Location:

Metro Manila, Philippines

Work mode:

Hybrid

Published on:

1 September 2026

What they need


About the role

This full-time AI Engineer role is based in Pasig and follows a hybrid work arrangement, allowing a combination of on-site and work-from-home days. The AI Engineer will design, develop, and optimize AI models and tools that support language translation, localization, and related services.

Key responsibilities

  • Build and train machine learning and neural network models
  • Implement and refine Natural Language Processing (NLP) pipelines
  • Integrate AI components into production-grade software systems
  • Collaborate with software developers, linguists, and product teams to understand requirements
  • Conduct experiments and evaluate model performance
  • Deploy scalable AI solutions
  • Maintain documentation and ensure code quality
  • Stay current with emerging AI and NLP technologies relevant to multilingual applications

About you

  • Strong foundation in Computer Science and Pattern Recognition, with the ability to design and analyze algorithms and data structures
  • Hands-on experience with Neural Networks and machine learning frameworks for building and training AI models
  • Proficiency in Software Development, including coding, testing, and deploying applications in modern programming languages (e.g., Python, Java, or similar)
  • Practical experience in Natural Language Processing (NLP), such as text classification, machine translation, language modeling, or sentiment analysis
  • Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or a related technical field
  • Familiarity with cloud platforms and MLOps practices for model deployment, monitoring, and optimization
  • Ability to work collaboratively in cross-functional teams and communicate technical concepts to non-technical stakeholders
  • Strong problem-solving skills, attention to detail, and a commitment to building reliable, ethical, and inclusive AI systems
  • Experience in multilingual or translation-related projects, or interest in language technologies, is an advantage

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