Job Description
Machine Learning – Staff Engineer (Bangkok Based, Relocation Provided)
Are you passionate about transforming travel for millions of customers worldwide?
Imagine doing that while enjoying the vibrant metro of Bangkok, one of the best places in Asia to live and work. Or from a tropical paradise a few hours away!
This opportunity is a hybrid role, offering a flexible working model. You will be part of the client’s efforts to creatively increase business and implement resources such as operational and analytical databases, ML- driven solutions, queue systems, and data monitoring tools.
The Company
One of the world’s largest online travel platforms, offering discounted rates at almost 3 million hotels and private homes worldwide. They provide discounted flights, rental cars, and hotel packages, with a diverse range of accommodations in over 200 countries. They continuously introduce new products and promotions to ensure travelers get the best deals with flexible booking terms.
What You’ll Do
- Lead the team in improving scalability, stability, accuracy, speed, and efficiency of ML systems.
- Build, administer, and scale ML processing pipelines.
- Navigate technology stack: Python3, PySpark, Bash/Python scripting, Hadoop, SQL, S3, etc.
- Understand the internals of ML models (Random Forest, CNN, Regression models, etc.).
- Design, build, test, and deploy new libraries, frameworks, or systems with high testing and code quality standards.
What You’ll Bring
- Education: Bachelor’s degree in computer science, information systems, engineering, or related field.
- Experience: 8+ years in software engineering, with 4+ years in ML; strong background in PySpark and Python.
- Technical Skills: Proficient in design patterns, object-oriented programming, SQL, and debugging production issues; understanding of data architecture principles and experience with Big Data technologies/tools is preferred.
Become part of a passionate team with people from different nationalities working together on a single goal in leading advancements in machine learning and innovation.
Relocation package available..
Want to know more? Apply here or share your resume to june@theonset.com.au
