Principal AI Engineer

Summary

Join Bjak, the largest insurance platform in Southeast Asia, as a Principal AI Engineer based in Singapore with the option to work remotely or in a hybrid arrangement in Malaysia. Lead and mentor a team of AI engineers, collaborating with product managers to define and execute AI projects. Design, develop, and implement AI models and applications to solve complex business challenges, overseeing the entire model lifecycle. Stay current with AI advancements and drive data-driven decision-making. Ensure the security and efficiency of AI solutions, and lead research efforts to integrate cutting-edge techniques. This role offers exciting projects, attractive remuneration, strong learning opportunities, and an international work environment.

Requirements

• Must be a Singapore Citizen or Permanent Resident
• Open to working remotely from Singapore or relocating to Malaysia (hybrid arrangement)
• Bachelor's, Master’s, or Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a related field
• Proven experience as an AI Engineer, Principal Engineer, or Data Scientist, with a track record of leading successful AI projects
• Proficiency in AI and ML frameworks and programming languages (e.g., Python, TensorFlow, PyTorch, Scikit-learn)
• Strong expertise in data preprocessing, feature engineering, and model evaluation
• Experience in deploying and optimizing AI models in a production environment
• Excellent problem-solving, analytical thinking, and debugging skills
• Strong leadership, communication, and team management abilities
• Passion for staying at the forefront of AI and machine learning advancements

Responsibilities

• 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

Benefits

• Remote work from Singapore OR hybrid work in Malaysia
• Attractive remuneration and performance incentives
• Strong learning and career growth opportunities
• International work environment and flat organization
• Competitive salary