Offer summary

Qualifications:

Bachelor’s, Master’s, or Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a related field., Proven experience as a Machine Learning Engineer, AI Engineer, or Data Scientist., Proficiency in AI and machine learning frameworks and programming languages such as Python, TensorFlow, and PyTorch., Strong problem-solving, analytical thinking, and effective communication skills..

Key responsabilities:

Collaborate with product managers and stakeholders to define AI and machine learning objectives and requirements.

Design, develop, and implement AI models and algorithms to solve complex business challenges.

Manage the end-to-end AI model lifecycle, including data collection, preprocessing, and deployment.

Stay updated with advancements in AI and machine learning, integrating best practices into projects.

Job description

About Us

At Bjak, we are committed to making financial services more accessible, affordable, and sustainable across ASEAN. Headquartered in Malaysia, Bjak is the largest insurance platform in Southeast Asia, helping millions find the best value and highest coverage insurance policies through our platform, Bjak.com.

We leverage cutting-edge technology, including Custom APIs, trading systems, and data science, to simplify financial services that were once complex and inaccessible. Our expertise in navigating complex regulations has enabled us to develop innovative products, such as offering investment-linked life and health insurance online with instant agent support.

We are looking for a Machine Learning Engineer who will be based in Malaysia and work in a hybrid setup. The role is open to Singaporean citizens and Permanent Residents (PRs) based in Singapore, who are willing to relocate to Malaysia or work remotely from Singapore while collaborating closely with our Malaysia-based team.

Key Responsibilities:

Collaborate with product managers and stakeholders to define AI and machine learning objectives, requirements, and timelines.
Design, develop, and implement AI models, algorithms, and applications to solve complex business challenges.
Manage the end-to-end AI model lifecycle, including data collection, preprocessing, model training, evaluation, and deployment.
Stay updated with the latest advancements in AI and machine learning, integrating best practices into projects.
Optimize AI models for scalability, efficiency, and security.
Utilize data-driven insights and advanced analytics for continuous improvements.
Conduct research to explore and integrate innovative AI techniques.

Requirements

Bachelor’s, Master’s, or Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a related field.
Proven experience as a Machine Learning Engineer, AI Engineer, or Data Scientist.
Proficiency in AI and machine learning frameworks and programming languages (e.g., Python, TensorFlow, PyTorch).
Expertise in data preprocessing, feature engineering, and model evaluation.
Strong problem-solving and analytical thinking skills.
Effective communication and teamwork abilities.
Must be a Singaporean citizen or Permanent Resident (PR).
Must be willing to relocate to Malaysia or work remotely from Singapore.
Hybrid working arrangement based in Malaysia, with collaboration across teams in Malaysia and Singapore.