Machine Learning Engineer

Ho Chi Minh City - Vietnam

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

Our Client is seeking a (Senior) ML Product Engineer to lead the design and development of user-facing and internal tools that bridge Machine Learning systems with product experiences.

You will drive full-stack engineering efforts that make ML models usable observable and explainable creating intuitive annotation platforms evaluation dashboards and prototype applications that bring AI to life for internal teams and enterprise users.

This role combines product intuition system design and hands-on development. Youll collaborate closely with ML Infra and Product teams to ensure that every ML capability can be understood tested and refined through well-crafted user interfaces and APIs.

Responsibilities:

Lead the design and development of interactive ML tools such as annotation systems model evaluation dashboards and data feedback platforms.
Architect and implement scalable maintainable full-stack applications that connect ML systems to real-world workflows.
Partner with ML Engineers Data Scientists and Designers to define human-in-the-loop workflows that improve model quality and transparency.
Translate research and experimentation outcomes into product prototypes or developer tools for rapid validation.
Define technical direction for frontend and backend systems supporting ML-driven products.
Ensure performance usability and security standards across internal and external tools.
Mentor junior engineers and establish best practices in UI architecture testing and integration.
Collaborate with US-based engineering teams to align product tooling and cross-platform initiatives.

Qualifications:

Bachelors or Masters degree in Computer Science Software Engineering or related field.
3 years of experience in full-stack product or frontend/backend engineering roles.
Strong programming skills in JavaScript/TypeScript and Python.
Experience with modern web technologies (React Vue or similar frameworks).
Experience developing backend APIs and microservices (FastAPI Flask or similar).
Proven experience designing end-to-end user experiences for data or ML-centric applications.
Excellent communication and collaboration skills with fluency in English.

Preferred Qualifications:

Experience designing and shipping annotation labeling or model evaluation tools.
Familiarity with ML concepts model inference APIs or experimentation platforms.
Proficiency in data visualization (Dash Plotly or equivalent).
Understanding of CI/CD pipelines and cloud deployments (AWS/GCP) for web tools.
Demonstrated leadership in technical design reviews and cross-functional projects.

Our Client is seeking a (Senior) ML Product Engineer to lead the design and development of user-facing and internal tools that bridge Machine Learning systems with product experiences. You will drive full-stack engineering efforts that make ML models usable observable and explainable creating intuit...

Our Client is seeking a (Senior) ML Product Engineer to lead the design and development of user-facing and internal tools that bridge Machine Learning systems with product experiences.

Responsibilities:

Lead the design and development of interactive ML tools such as annotation systems model evaluation dashboards and data feedback platforms.
Architect and implement scalable maintainable full-stack applications that connect ML systems to real-world workflows.
Partner with ML Engineers Data Scientists and Designers to define human-in-the-loop workflows that improve model quality and transparency.
Translate research and experimentation outcomes into product prototypes or developer tools for rapid validation.
Define technical direction for frontend and backend systems supporting ML-driven products.
Ensure performance usability and security standards across internal and external tools.
Mentor junior engineers and establish best practices in UI architecture testing and integration.
Collaborate with US-based engineering teams to align product tooling and cross-platform initiatives.

Qualifications:

Bachelors or Masters degree in Computer Science Software Engineering or related field.
3 years of experience in full-stack product or frontend/backend engineering roles.
Strong programming skills in JavaScript/TypeScript and Python.
Experience with modern web technologies (React Vue or similar frameworks).
Experience developing backend APIs and microservices (FastAPI Flask or similar).
Proven experience designing end-to-end user experiences for data or ML-centric applications.
Excellent communication and collaboration skills with fluency in English.

Preferred Qualifications:

Experience designing and shipping annotation labeling or model evaluation tools.
Familiarity with ML concepts model inference APIs or experimentation platforms.
Proficiency in data visualization (Dash Plotly or equivalent).
Understanding of CI/CD pipelines and cloud deployments (AWS/GCP) for web tools.
Demonstrated leadership in technical design reviews and cross-functional projects.