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Machine Learning Engineer
Angkas · Makati City, Metro Manila, Philippines
About The Role
- ●Collaborate with Machine Learning Engineers, Backend Engineers, Data Scientists, and Product Managers to develop AI-powered features and services.
- ● Build, deploy, and maintain production-ready machine learning models that improve allocation, ETA prediction, demand forecasting, and marketplace optimization.
- ● Develop scalable data processing, feature engineering, and model training pipelines for large-scale datasets.
- ● Integrate machine learning models into backend services and ensure reliable, low-latency inference in production
- ● Monitor model performance, identify model drift, and continuously improve model accuracy and operational reliability.
- ● Contribute to MLOps practices including model versioning, automated deployment, monitoring, and experimentation.
- ● Write clean, maintainable, and well-tested code while following software engineering best practices.
- ● Participate in technical discussions, code reviews, and knowledge sharing to continuously improve the team's engineering standards.
- ● Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field.
- ● At least 3 years of professional experience building and deploying machine learning applications in production.
- ● Strong proficiency in Python and experience with machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn.
- ● Experience with SQL and data processing frameworks for working with large datasets.
- ● Familiarity with model deployment, REST APIs, Docker, Kubernetes, and cloud-based infrastructure.
- ● Understanding of MLOps concepts including model lifecycle management, monitoring, CI/CD, and experimentation.
- ● Solid software engineering fundamentals including version control, testing, debugging, and system design.
- ● Strong analytical, problem-solving, and communication skills with the ability to work effectively in cross-functional teams.
- Why join Angkas?
- Freedom of work
- Work-life balance
- Free meals and use of gym
- Opportunities for promotion
- Competitive salary
- Pay raise
- Start-up environment
- Multi-cultural and Agile work environment
- Diversified use of technology
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