Machine Learning Engineer
Who We Are:
We're a financial services company leveraging cutting-edge technology to provide fintech and financial solutions to the underserved Southeast Asia market. Our team is a diverse and carefully selected group of finance and tech professionals worldwide.
With the successful launch of our first product. Our top-tier international talent, based in Bangkok, continues to innovate and drive forward in our fast-paced and quality-driven environment.
Our journey is marked by continuous learning, growth, and a passion for our work. We remain committed to breaking new ground, adapting, and thriving amidst the challenges and opportunities that lie ahead.
Qualifications:
3+ years working in a position of ML Engineer with MLOps experience.
You excel in architecting and maintaining robust systems that ensure high uptime and reliability for machine learning pipelines and data pipelines.
Experience in designing highly scalable model and feature storage, training, and serving infrastructure.
Strong Python coding and testing skills and experience with common frameworks such as Pydantic, Poetry, Python linters, and type checkers.
Experience writing and releasing Python packages via a GitOps CI/CD pipeline.
Experience with ML common frameworks such as scikit-learn, any of the popular boosting frameworks (LightGBM, XGBoost, CatBoost).
You know how to manage dependencies and ensure consistent environments, best practices for containerizing a ML solution (e.g. Docker).
Experience with both offline batch and online model deployment, orchestration platforms (e.g. Airflow).
Familiarity with one of the common cloud providers and experience with ML/data cloud services specifically (preferably GCP).
Experience with or willingness to adopt Infrastructure-as-Code paradigms and frameworks (e.g. Terraform).
Collaboration is second nature to you, knowing when to collaborate and when to lead in optimizing ML operations.
Demonstrate exceptional verbal and written communication skills in English.
Responsibilities:
Managing the deployment and operation of models leveraging both streaming and batch processing.
You'll be delving into diverse technologies, including ML models, cloud data and MLOps infrastructure, Kubernetes to ensure seamless integration and performance.
Writing design documentation for your solution. Writing testable, modular, maintainable code. Ensure your code is extensively tested and complies with common standards.
Design and support internal ML platform to increase data science team velocity and reduce time-to-production.
Monitor ML models in production and help stakeholders diagnose training/serving skew.
Implement and support data and model versioning policies.
Expect to be on call for incident resolution.
Nice to Have:
Experience in financial services, e-commerce, credit, or another high-volume, low-latency environment.
Exposure to modern open-source and/or cloud provider ML platforms.
Fluency in Thai and Indonesian.
About working with us:
This position is based in our Bangkok office.
We prefer to collaborate in person and don't offer remote work.
As an international team, English language proficiency is required.
Our application process:
Hiring is something we do with care. Because of that, we believe that having a transparent and thorough recruitment process is key. If you liked what you've read and are up for the challenge, here is what to expect after submitting your resume:
The hiring team reviews your application.
You get invited to an initial call with the hiring team.
3-4 Interviews with relevant team members
Offer
Why You'll Love It Here:
We're all owners; Everyone at Honest gets an ESOP (Employee Stock Option Plan).
Provident Fund.
Training Course and Book Subsidies.
You'll be working with the smartest people in the industry.
A modern office right in the heart of Bangkok.
Top-of-the-line medical healthcare plan.
Monthly Wellness Allowance.
One of the best-funded start-ups in Southeast Asia with Silicon Valley investors.
We don't believe in titles or hierarchy but value contribution & celebrate achievements as a team.
Honest Hiring:
At Honest, we're working hard to build the future of finance for Asia. To do so, we prioritize attracting the best talent worldwide to join us – regardless of their background and heritage.
At Honest, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity or expression, sexual orientation, age, citizenship, marital or parental status, disability, or other class protected by applicable law. We are proud to be an equal opportunity workplace.
If you want to change how people access finance in Asia, join us and help us build a global company where we're all proud to belong.