AI Engineer

Elite WorldGroup Services Inc.

Metro Manila

Hybrid

PHP 900,000 - 1,400,000

Full time

9 days ago
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Job summary

Elite WorldGroup Services Inc. in Pasig is seeking a full-time AI Engineer to design, develop, and optimize AI models that support language translation and localization, with a hybrid work setup.

You will build and train ML/NN models, implement NLP pipelines, and deploy AI components into production systems, collaborating with developers, linguists, and product teams to meet multilingual needs. We value strong CS fundamentals, hands-on ML/NLP experience, and the ability to communicate technical

Qualifications

  • Strong foundation in Computer Science and pattern recognition 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.
  • 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.

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

Skills

Neural Networks
Machine Learning
NLP
Algorithms & Data Structures
Cloud Platforms
MLOps
Software Development
Multilingual NLP interest
Communication
Collaboration

Education

Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or related field

Tools

Python
Java

Job description

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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