BJAK is an internet company with deep expertise in automation, having built Southeast Asia’s largest insurance aggregator. Leveraging our strength in advanced browser automation, we’re now launching a global AI solution designed to simplify life through intelligent task automation.
Based in Malaysia, our AI product is uniquely positioned to serve global markets, and we’re at an exciting stage in our journey. Our mission is to ensure that the benefits of AI reach everyone, everywhere, creating a world where intelligent task automation enhances human productivity and makes life easier.
Our team is goal-driven, highly motivated, and focused on delivering exceptional products that delight users. We operate with a flat organizational structure where ownership, initiative, and excellence are key to growth. Leadership opportunities are earned by those who consistently deliver outstanding results and show initiative. At BJAK, there are no limits to growth—if you’re inspired by meaningful challenges, hands-on contributions, and rapid career advancement, you’ll thrive here.
Join us in building innovations that simplify life and shape the future of AI.

REQUIREMENTS

• Bachelor’s, Master’s, or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
• Proven experience as an AI engineer or data scientist, with a track record of leading successful AI projects.
• Proficiency in AI and machine learning frameworks and programming languages (e.g., Python).
• Strong expertise in data preprocessing, feature engineering, and model evaluation.
• Excellent problem-solving and critical-thinking skills.
• Effective leadership, communication, and team management abilities.
• A passion for staying at the forefront of AI and machine learning advancements.

• Lead and mentor a team of AI engineers, providing technical guidance, coaching, and fostering their growth.
• Collaborate with product managers and stakeholders to define AI project objectives, requirements, and timelines.
• Design, develop, and implement AI models, algorithms, and applications to solve complex business challenges.
• Oversee 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, incorporating best practices into projects.
• Drive data-driven decision-making through advanced analytics and visualization techniques.
• Ensure the security, scalability, and efficiency of AI solutions.
• Lead research efforts to explore and integrate cutting-edge AI techniques.