Machine Learning Engineer

1 day ago

Manila, National Capital Region, Philippines GCash Full time ₱900,000 - ₱1,200,000 per year

Do you want to take the first step in making Filipinos' lives better everyday? Here in GCash we want to stay at the forefront of the FinTech industry by creating innovative, meaningful, and convenient financial solutions for the nation G ka ba? Join the G Nation today

You Will Be Responsible For The Following

  • Designs, develops, and implements scalable Machine Learning systems.
  • Conducts data analysis and modeling using large and complex data sets.
  • Ensures accuracy and effectiveness of ML systems and algorithms through continuous training and retraining.
  • Enhances existing frameworks, workflows, and libraries to improve efficiency and performance.
  • Documents ML processes, standards, and best practices to maintain consistency and facilitate knowledge sharing.
  • Proposes new feature ideas and designs data pipelines to integrate them into existing models.
  • Collaborates with stakeholders, driving end-to-end projects involving various technologies and systems to successful completion.

We Are Looking For

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

What We Offer
Opportunity for career growth and development in the #1 FinTech company in the country Working with a dynamic and highly collaborative team who want to change the game A company that values their people with highly competitive and flexible compensation and benefits package

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