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Information & Communication Technology 🏢 Full Time ⭐️ Terverifikasi

AI/ML Engineer

Insular Life Assurance
Alabang, Metro Manila
Estimasi Gaji
PHP 60.000 – PHP 120.000
Live Update
14 Juni 2026
Batas Akhir
14 Jun 2027

Deskripsi Pekerjaan

Join Insular Life Assurance as an AI/ML Engineer and drive innovation in the insurance industry. You'll be pivotal in developing, implementing, and deploying cutting-edge AI and machine learning solutions that transform business operations and enhance customer experiences. This role requires translating approved designs into production-ready systems while ensuring scalability, performance, and ethical AI practices. Collaborate with cross-functional teams to solve complex challenges using data-driven approaches, and contribute to building the future of intelligent insurance solutions.

Tanggung Jawab

  • Design, develop, and deploy end-to-end AI/ML models in production environments
  • Collaborate with stakeholders to translate business requirements into technical solutions
  • Implement robust data pipelines for model training and inference
  • Optimize model performance through continuous testing and refinement
  • Document technical specifications and create comprehensive model documentation
  • Stay current with emerging AI/ML technologies and industry best practices
  • Ensure compliance with data privacy and security regulations

Kualifikasi

  • Bachelor's degree in Computer Science, Data Science, Engineering, or related field
  • 3+ years of experience in machine learning and AI development
  • Proficiency in Python, TensorFlow, PyTorch, and scikit-learn
  • Strong understanding of data structures, algorithms, and software engineering principles
  • Experience with cloud platforms (AWS/GCP/Azure) and containerization (Docker/Kubernetes)
  • Excellent problem-solving skills and ability to communicate technical concepts
  • Knowledge of MLOps practices and CI/CD for ML systems

Keahlian yang Dibutuhkan

Machine Learning Artificial Intelligence Python TensorFlow PyTorch Data Science MLOps Cloud Computing AWS GCP Azure Docker Kubernetes

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