AI/ML Senior Software Engineer

BJAK is Southeast Asia's largest insurance aggregator.

Our team is goal-driven, highly motivated, and focused on product excellence to delight users. We are looking for individuals who want to challenge themselves and do meaningful work in life.

We have a flat organizational structure. All employees are expected to be hands-on and to contribute. Leadership is given to those who show initiative and consistently deliver excellence. There are no limits to growth. Work ethic and strong prioritization skills are important.

If you are the above, join us.

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 Vietnamese citizen.
• Must be willing to work remotely from Vietnam while collaborating with the Malaysia team.

Benefits

• Hybrid work arrangement (on-site and remote if needed)
• Dynamic and fast-paced work environment
• Attractive remuneration and performance incentives
• Strong learning and career growth opportunities
• International exposure and collaboration
• Competitive salary