Looking for Machine Learning Engineers who work within both software engineering and data science, scaling data modeling into a production environment? Who enable software applications to become highly accurate in predicting outcomes without any need for explicit programming?

MACHINE LEARNING ENGINEER QUALIFICATIONS AND EXPERIENCE
The Machine Learning Engineers we hire will have at least a Bachelor’s degree or higher in a STEM subject. Additionally, according to your requirements, they’ll be proficient in a combination of the following skills, programs, and tools:-
- Parallel, distributed, GPU-accelerated machine learning (ML) pipelines
- MatLab, Java, Python (including pandas, NumPy, sklearn, scipy)
- Linux
- Modern IDEs and source control (git)
- SQL, MySQL and DB optimization
- Classical machine learning methods: SVMs, feature engineering, clustering algorithms, model validation
- Deep Learning: Tensorflow, Pytorch, Theano, Caffe, CNTK
- Cloud management tooling: Terraform
- Batch jobs/job scheduling: Airflow, Luigi, Jenkins
- Unix environment
- AWS (ECS)
- GIS: postgis
- Postgres or other SQL-based databases
- Amazon Web Services
- Time Series Analysis, Bayesian Statistics, Time Series Forecast
Their areas of specialization may include:
Fraud and Risk Management
Marketing
Investment and Real Estate
We can connect you with Machine Learning Engineers in the Philippines and Vietnam local markets with the following experience levels:
Junior - 1 year
Intermediate - 2-3 years
Senior - 5+ years
TOP 4 FILIPINO UNIVERSITIES FOR MACHINE LEARNING ENGINEERING




TOP 4 VIETNAMESE UNIVERSITIES FOR MACHINE LEARNING ENGINEERING




Interested in finding out more about accelerating your business growth by connecting with super-smart STEM grads?