Senior Machine Learning Engineer

4 hours ago

Metro Manila Philippines GCash Full time

Overview

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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

Responsibilities
  • Leads the design, development, and implementation of 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
  • Architect and evolve our core ML frameworks, libraries, and workflows to accelerate development velocity and improve system performance and reliability
  • Establish and enforce ML engineering best practices, setting the standards for code quality, model validation, documentation, and operational excellence
  • Drive innovation by identifying, prototyping, and advocating for novel ML applications and data strategies that create significant business value
  • Act as a key technical leader and mentor, collaborating with product managers, researchers, and engineers to guide complex projects from ambiguity to successful delivery
Qualifications
  • Bachelors or Masters 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
  • A proven portfolio of delivering high-impact machine learning models that have solved critical business challenges at scale
  • Proficiency in cloud computing platforms like AWS, Google Cloud, or AlibabaCloud
  • Excellent software engineering skills across multiple languages, including Python, SQL, Scala
  • Deep experience with major machine learning frameworks (e.g., TensorFlow, PyTorch, JAX) and libraries (e.g., scikit-learn, XGBoost)
  • Solid understanding of software engineering best practices and their appropriate application
  • Demonstrated experience designing and managing complex data and model pipelines using orchestration tools like Airflow, Kubeflow Pipelines, or Flyte
  • Knowledge of containerization and orchestration tools like Docker and Kubernetes for machine learning deployment
  • Exceptional communication and leadership skills, with the ability to mentor junior engineers and articulate complex technical concepts to diverse stakeholders
  • A forward-thinking mindset to anticipate and leverage emerging technologies and research to maintain our competitive edge
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
Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Engineering and Information Technology

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