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Information & Communication Technology 🏢 Full Time ⭐️ Terverifikasi

Machine Learning Engineer

OmniQuest
Mandaluyong City, Metro Manila
Estimasi Gaji
PHP 600.000 – PHP 1.200.000
Live Update
12 Juni 2026
Batas Akhir
12 Jun 2027

Deskripsi Pekerjaan

Join OmniQuest's dynamic team as a Machine Learning Engineer and drive innovation through cutting-edge AI solutions. You will architect, develop, and optimize scalable machine learning models that transform raw data into actionable insights. Collaborate with cross-functional teams to deploy AI solutions in cloud environments (AWS/GCP/Azure), ensuring seamless integration with existing systems. This role requires hands-on experience in the full ML lifecycle—from data preprocessing and experimentation to production deployment and monitoring. Contribute to OmniQuest's mission of leveraging artificial intelligence to solve complex business challenges while staying at the forefront of technological advancements.

Tanggung Jawab

  • Design, implement, and optimize scalable ML models for diverse applications
  • Process and analyze large datasets to extract meaningful patterns for model training
  • Execute rigorous experimentation cycles to validate and refine model performance
  • Deploy AI solutions into production using TensorFlow/PyTorch in cloud infrastructures
  • Collaborate with product teams to integrate ML capabilities into end-user solutions
  • Monitor deployed models for performance drift and implement continuous improvement strategies
  • Document technical specifications and maintain best practices for ML operations

Kualifikasi

  • Bachelor's degree in Computer Science, Mathematics, Engineering, or related field
  • 3+ years of experience in machine learning model development and deployment
  • Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn)
  • Strong understanding of cloud platforms (AWS/GCP/Azure) and containerization tools
  • Experience with data preprocessing, feature engineering, and model evaluation
  • Knowledge of CI/CD pipelines for ML systems and MLOps practices
  • Excellent problem-solving skills with ability to translate business requirements into technical solutions

Keahlian yang Dibutuhkan

Machine Learning TensorFlow PyTorch Python Cloud Computing AI Data Science MLOps AWS GCP Model Deployment Data Processing

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