Machine Learning Manager, Japan

As a Machine Learning Manager at Bjak, you’ll lead and mentor a team of AI engineers, ensuring they receive the technical guidance they need to thrive. You'll work closely with product managers and stakeholders to define project objectives, and your role will encompass the entire AI model lifecycle—from data collection and preprocessing to model training, evaluation, and deployment. Staying updated with the latest AI advancements is crucial, as you will integrate these insights into your projects to drive data-driven decision-making.

Bjak seeks candidates for the Machine Learning Manager position with 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 is essential, particularly with a history of successful AI projects. Familiarity with AI and machine learning frameworks, programming languages like Python, and expertise in data preprocessing are also key qualifications for this role.

The Machine Learning Manager at Bjak plays a crucial role in advancing our mission to provide affordable financial services. By leading the development of innovative AI solutions, you contribute to creating platforms that simplify complex financial services. Your leadership in designing AI models will directly impact how users experience and interact with our services, making financial assistance more accessible to everyone in ASEAN.

At Bjak, the Machine Learning Manager will enjoy a strong, collaborative team environment. You will be responsible for mentoring AI engineers, fostering their professional growth, and encouraging a culture of innovation. The international working environment promotes open communication, making it easier to brainstorm and tackle the unique challenges that arise in developing advanced AI-driven solutions.

Bjak is committed to the development of its employees, providing numerous opportunities for career growth. As a Machine Learning Manager, you’ll have access to strong learning and development plans tailored to enhance your skills. Additionally, with the company’s rapidly expanding involvement in the financial services sector, you’ll have the chance to take on new challenges and responsibilities, positioning yourself for further advancement within a growing organization.

When answering this question, focus on specific projects where you played a leadership role. Discuss the objectives of the projects, your approach to managing the team, and the impact your leadership had on the outcomes. Highlight any specific technologies or methodologies you utilized, as well as any challenges you overcame.

It’s essential to convey your proactive approach to professional development. Mention the resources you rely on, such as specialized publications, online courses, or community events. You can also discuss any personal projects or initiatives that you’ve undertaken to apply the latest trends in AI technology.

Discuss the importance of data quality in AI projects and explain your specific strategies for preprocessing data. Focus on techniques you’re familiar with, such as normalization, handling missing values, or feature engineering, and how these techniques relate to the success of your AI models.

Explain the various performance metrics you use to assess an AI model, such as accuracy, precision, recall, or F1 score. Provide examples from your experience where you used these metrics to refine and improve model performance, showcasing your analytical skills.

Here, emphasize your belief in continual learning and support as a leader. Talk about the methods you employ to mentor your team members, such as regular one-on-ones, setting professional development goals, and providing constructive feedback. This insight will show that you value growth and investment in your team.

Be prepared to discuss a specific project or case where you faced a significant business challenge and your innovative solution using AI techniques. Highlight your problem-solving approach, the collaboration with your team, and the successful outcome, demonstrating your critical thinking and resourcefulness.

Mention specific programming languages like Python or R, and discuss any frameworks such as TensorFlow or PyTorch that you have used. Share your experience with these tools in past projects, which will help the interviewer understand your technical fit for the role.

Explain the importance of stakeholder communication and how you gather and integrate feedback throughout the AI project lifecycle. You can discuss methods such as regular check-ins or using prototyping phases that involve stakeholders to ensure alignment with business goals.

Use this question to demonstrate your understanding of the industry and specific challenges Bjak might face, such as regulatory compliance or data privacy issues. Share your thoughts on how to address these challenges effectively, showcasing your strategic thinking.

This is an opportunity to express your enthusiasm for Bjak’s mission and values. Discuss what specifically attracted you to the company, such as its innovative approach in the financial sector or the potential impact you envision making through the role. Your genuine interest will resonate with the interviewer.