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Remote Machine Learning Engineer 机器学习工程师 (Remote)
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Machine Learning Engineer 机器学习工程师 (Remote)
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Bjak
Posted 1 day ago
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0 applied
Description:
The position is for a Machine Learning Engineer at BJAK, a company focused on building intelligent financial services across Southeast Asia.
This is a remote role based in China, requiring collaboration with teams in Malaysia and across product, data, and engineering.
The engineer will develop and deploy models for key features such as personalization, risk scoring, intelligent automation, and fraud detection.
The role directly impacts millions of users and aims to create visible, real-world results.
Responsibilities include designing and scaling ML solutions, managing the full ML lifecycle, and integrating models into production systems.
The engineer will work in a fast-paced environment, contributing to robust, production-grade systems.
Requirements:
A Bachelor's or Master’s degree in Computer Science, Data Science, or a related technical field is required.
Candidates should have 2-4 years of experience in machine learning, AI, or backend software development.
Proficiency in Python and familiarity with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn is necessary.
Strong understanding of the ML development process, including preprocessing, model building, evaluation, and deployment, is essential.
Experience deploying models in production via APIs or cloud infrastructure is required.
Familiarity with collaborative coding practices and tools like Jupyter and Git is necessary.
Strong problem-solving, communication, and teamwork skills are essential.
Candidates must be based in China and able to work remotely with regional teams.
Benefits:
The position offers a competitive salary and performance-based bonuses.
There is a flexible, remote-first work policy allowing employees to work from anywhere in China.
The role is high-impact, providing visibility across product, engineering, and leadership teams.
The company has a flat structure, ensuring that contributions are recognized and voices are heard.
Employees will experience a fast learning curve with opportunities for growth in a mission-driven company.
The role provides exposure to Southeast Asia’s dynamic fintech markets.