The position is for a Senior AI/ML Software Engineer at BJAK, a company focused on using AI to enhance access to insurance and financial services in Southeast Asia.
This is a remote role available to candidates based in the United States, allowing work from anywhere in the country.
The engineer will contribute to building intelligent systems that include personalized recommendations, fraud detection, automation, and search functionalities.
The role involves collaboration with teams in Malaysia and across Southeast Asia, within a fast-paced and flat team structure.
The work will directly impact user experience, efficiency, and platform intelligence, serving millions of users.
Responsibilities include defining ML goals, designing and deploying machine learning models, managing the ML lifecycle, building scalable infrastructure, integrating ML outputs, and staying updated with AI/ML trends.
Requirements:
A Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical field is required.
Candidates should have 2 to 4 years of experience in machine learning or backend software development.
Strong proficiency in Python is necessary, along with experience in frameworks such as TensorFlow, PyTorch, or Scikit-learn.
A solid understanding of ML workflows, including data cleaning, model development, tuning, and evaluation, is essential.
Familiarity with model deployment, API development, or real-world ML integration is required.
Experience with tools like Google Colab, Jupyter, and cloud ML platforms is expected.
Strong analytical, problem-solving, and communication skills are necessary.
Candidates must be based in the US and be open to remote collaboration across different time zones.
Benefits:
The position offers a competitive salary along with performance-based bonuses.
Employees enjoy a flexible, fully remote work arrangement from anywhere in the US.
The work has a direct impact, reaching millions of users across Asia.
The company maintains a flat structure, ensuring that employee voices are heard and contributions are recognized.
There are opportunities for rapid personal and technical growth within the organization.
Employees will gain regional exposure and collaborate with teams across Southeast Asia.
