About Us

MabuhayTech Corporation is a forward-thinking tech company dedicated to building cutting-edge AI solutions that drive innovation across industries. We are looking for passionate and skilled AI/Machine Learning Software Engineers (from fresh graduates to experienced professionals with up to 5 years of experience) to join our growing team.

You will play a key role in designing, developing, and deploying AI/ML models, working on projects ranging from predictive analytics and NLP to generative AI and computer vision.

• AI/ML Development – Design, develop, and deploy scalable machine learning models for real-world applications.
•  Generative AI – Implement and optimize advanced generative models (GANs, Diffusion Models, Transformers) for text-to-image, video synthesis, and more.
•  Data Engineering – Work with large datasets, perform preprocessing, feature engineering, and ensure seamless data flow.
•  Model Evaluation – Validate models using metrics like accuracy, precision, recall, and ensure interpretability.
•  Deployment & Integration – Deploy AI models into production (using Docker, Kubernetes, REST APIs, or cloud platforms like AWS/GCP/Azure).
•  Collaboration – Work with cross-functional teams (data scientists, engineers, and product managers) to deliver end-to-end AI/ML solutions.
•  Continuous Innovation – Stay updated on the latest AI/ML trends, research, and tools to bring innovative solutions to the team.

Requirements:

•  Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, Statistics, or a related field.
•  Fresh graduates are welcome to apply; up to 5 years of relevant experience is preferred.
•  Strong programming skills in Python (plus experience in C++, Java, or others is a plus).
•  Experience with ML frameworks such as TensorFlow, PyTorch, Scikit-learn, Keras.
•  Familiarity with data preprocessing, feature engineering, and model evaluation.
•  Knowledge of cloud platforms (AWS, GCP, or Azure) for deploying models.
•  Strong analytical, problem-solving, and collaboration skills.

Bonus Points For:

• Experience with big data frameworks (Spark, Hadoop).
•   Knowledge of MLOps and CI/CD pipelines.
•  Hands-on experience with computer vision, NLP, or generative AI models (GANs, Diffusion, Transformers).
• Familiarity with API development and model deployment at scale.