AI/ML Senior Software Engineer, Taiwan

As an AI/ML Senior Software Engineer at Bjak, your primary responsibilities include collaborating with product managers to define AI project objectives and requirements, designing and implementing AI models and applications, managing the end-to-end AI model lifecycle, and incorporating the latest advancements in AI and machine learning. You'll also drive data-driven decision-making and ensure the security and efficiency of AI solutions.

To qualify for the AI/ML Senior Software Engineer role at Bjak, you should have a 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, proficiency in AI and machine learning frameworks, and expertise in data preprocessing and model evaluation are essential. Strong problem-solving skills and effective communication abilities are also highly valued.

Bjak is committed to your professional growth as an AI/ML Senior Software Engineer. We offer strong learning and development plans tailored to enhance your career. You'll have the opportunity to work with cutting-edge technology in a fast-paced environment, enabling you to gain experience and evolve your skills significantly within the field of AI and machine learning.

At Bjak, the work environment for the AI/ML Senior Software Engineer is international and flat, fostering collaboration and innovation. We prioritize a casual atmosphere where team members can feel comfortable while driving meaningful projects. Flexible working hours and arrangements allow employees to maintain a healthy work-life balance, making it a fantastic place to contribute to exciting and impactful work.

To excel in your interview for the AI/ML Senior Software Engineer position at Bjak, be prepared to discuss your past AI projects, your approach to problem-solving, and how you stay updated on industry advancements. Demonstrating your ability to communicate technical concepts clearly and showcasing your collaborative spirit will also highlight your fit for the team.

When answering this question, showcase specific examples of your work managing AI model lifecycles. Talk about the steps you took in data collection, preprocessing, training, evaluation, and deployment, focusing on how each stage influences the project outcome.

Discuss the resources you use to keep informed about AI advancements, such as research papers, online courses, and relevant conferences. Emphasize your proactive approach to learning and adapting new techniques into your projects.

Be prepared to detail a specific AI project that posed difficulties. Explain the challenges you encountered, your responsibilities, and the solutions you implemented, as well as the overall impact of your work on the project's success.

Clearly list the programming languages and AI frameworks you are proficient in. For each, provide insights on how you've used them in your projects and any particular strengths or projects that demonstrate your capabilities.

Explain your approach to prioritization, emphasizing techniques you use to balance multiple projects. Discuss using project deadlines, stakeholder input, and potential impact to guide your decision-making.

Describe your strategies for data preprocessing, such as feature scaling, normalization, and handling missing data. Highlight your methods, why they're important, and how they contribute to improved model performance.

In your answer, illustrate your understanding of overfitting by explaining it as the phenomenon where a model performs well on training data but poorly on unseen data. Discuss techniques you use to mitigate overfitting, like cross-validation and regularization.

Discuss the practices you implement to ensure scalability. This may include designing systems for modularity, using cloud solutions for flexibility, and testing performance under differing loads to prepare for future scalability needs.

Emphasize the importance of collaboration in your work. Discuss how effective communication and the pooling of diverse skills and ideas among team members result in successful AI project execution.

Convey your genuine interest in the mission of Bjak and how your goals align with providing sustainable financial services. Share enthusiasm about contributing to meaningful projects that impact people's lives positively.