Machine Learning Engineer

Summary

Join Bjak, the largest insurance platform in Southeast Asia, and contribute to making financial services more accessible. As a Machine Learning Engineer, you will collaborate with product managers and stakeholders to define AI objectives, design and implement AI models, manage the AI model lifecycle, and stay updated on the latest advancements in AI. You will optimize AI models for scalability and efficiency, utilize data-driven insights, and conduct research to integrate innovative AI techniques. This role requires a Bachelor’s, Master’s, or Ph.D. in a related field, proven experience as a Machine Learning Engineer or Data Scientist, and proficiency in AI frameworks and programming languages. The position offers a hybrid working arrangement based in Malaysia with the option of remote work from Singapore for suitable candidates. Bjak provides attractive remuneration, performance incentives, and strong learning and career growth opportunities.

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

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

Preferred Qualifications

• Hybrid working arrangement based in Malaysia, with collaboration across teams in Malaysia and Singapore
• Open to remote work from Singapore for suitable candidates
• Work closely with an international team based in Malaysia
• Dynamic and fast-paced work environment

Benefits

• Attractive remuneration and performance incentives
• Strong learning and career growth opportunities
• Competitive salary