Intelligent Systems Developer

2 days ago


Manila, National Capital Region, Philippines Globe Telecom, Inc. Full time

About Our Company

Globe Telecom, Inc. is a leading provider of mobile financial services that aims to accelerate financial inclusion through mobile money, financial services, and technology.

Our company has a strong presence in the Philippines and is committed to providing secure, accessible, and convenient fintech solutions to individuals, businesses, and organizations.

Job Summary

We are seeking an experienced Machine Learning Engineer to join our team of innovative and dynamic professionals who want to change the game.

As a key member of our machine learning team, you will design, develop, and implement scalable Machine Learning systems, conduct data analysis and modeling using large and complex data sets, and ensure accuracy and effectiveness of ML systems and algorithms through continuous training and retraining.

Responsibilities

  • Design, develop, and implement scalable Machine Learning systems
  • Conduct data analysis and modeling using large and complex data sets
  • Ensure accuracy and effectiveness of ML systems and algorithms through continuous training and retraining
  • Collaborate with stakeholders, drive end-to-end projects involving various technologies and systems to successful completion

Qualifications

  1. Bachelor's or Master's Degree in a quantitative field such as statistics, engineering, or computer science
  2. At least 2 years of experience in software and model development in a data or machine learning team in a production environment
  3. Strong track record of designing and training machine learning models to solve business challenges
  4. Proficiency in cloud computing platforms like AWS, Google Cloud, or AlibabaCloud
  5. Excellent software engineering skills across multiple languages, including Python, SQL, Scala
  6. Experience with machine learning software packages (e.g., scikit-learn, TensorFlow, PyTorch, XGBoost)
  7. Solid understanding of software engineering best practices and their appropriate application
  8. Knowledge of containerization and orchestration tools like Docker and Kubernetes for machine learning deployment
  9. Strong communication and collaboration skills to work effectively with cross-functional teams
  10. Ability to adapt to new technologies and stay current with the latest developments in machine learning


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