AI/ML Senior Software Engineer (Indonesia)

As an AI/ML Senior Software Engineer at Bjak, you'll be tasked with setting the AI and machine learning roadmap by collaborating with product managers and stakeholders. You'll design and develop AI models to solve intricate business issues, handle the full AI model lifecycle—including data collection, preprocessing, and deployment—and maintain these systems for peak performance. You'll also leverage advanced analytics to enhance decision-making and keep abreast of AI advancements to integrate into your projects.

Bjak seeks candidates with a Bachelor's, Master's, or Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a related area. Proven experience as an AI/ML Engineer or Senior Software Engineer is essential, along with proficiency in AI frameworks such as TensorFlow or PyTorch. Strong skills in data preprocessing and model evaluation are crucial, alongside robust problem-solving abilities and effective teamwork skills.

Yes! The AI/ML Senior Software Engineer position at Bjak offers a fully remote work arrangement. You’ll be collaborating closely with our team in Malaysia from the comfort of your home in Indonesia, making it an ideal role for both professional and personal balance.

As an AI/ML Senior Software Engineer at Bjak, you’ll engage in exciting projects that focus on developing cutting-edge financial products and technologies. This might involve designing machine learning algorithms to derive insights from data or implementing AI-driven solutions for improving customer experiences and operational efficiency within the financial landscape.

At Bjak, career growth is highly encouraged and supported. As an AI/ML Senior Software Engineer, you’ll have access to various learning opportunities including workshops, seminars, and conferences. Additionally, you'll work in an innovative environment that promotes the exploration of new technologies, allowing for both personal and professional development.

In answering this question, focus on detailing specific frameworks you've used such as TensorFlow or PyTorch. Share projects where you implemented these tools effectively, and describe the challenges you faced and how you overcame them. This not only showcases your technical skills but also your problem-solving abilities.

Begin your answer by outlining the key stages of an AI model lifecycle: data collection, preprocessing, model training, evaluation, and deployment. Discuss your experiences in each stage, along with how you ensure the models are optimized for efficiency and scalability, showcasing your thorough understanding of the process.

Share a specific instance where you faced a complex problem in AI or machine learning. Describe the challenge, the steps you took to analyze the issue, the solution you proposed, and how it impacted the project. Use this opportunity to highlight your analytical and problem-solving skills.

Discuss various techniques you utilize for data preprocessing, including handling missing values, normalization, and feature engineering. Share specific examples from your past projects to illustrate your methodology and understanding of the importance of clean data in building effective AI models.

Answer by discussing best practices you follow for security, including data encryption, access controls, and regular audits. Additionally, explain how you monitor system performance and implement optimizations to ensure efficiency, highlighting that you keep performance results to evaluate the functionality.

Provide details of your practical experiences with deploying machine learning models into production. Discuss specific platforms or tools used for deployment, how you ensured minimal disruption to services, and how you handled performance monitoring post-deployment for continuous improvement.

Articulate your passion for Bjak's mission to provide innovative financial solutions, your alignment with the company’s growth strategies, and how the opportunity to work in an international, forward-thinking environment excites you. Call attention to cultural aspects of Bjak that resonate with you.

Mention specific resources you utilize, such as academic journals, online courses, and industry conferences. Discuss any communities you engage with or projects you undertake that allow you to stay ahead of advancements, showing your commitment to continuous learning in the AI/ML field.

Discuss your communication and teamwork strategies, emphasizing the importance of aligning with product managers and stakeholders. Share examples of successful collaborations and how you handle different perspectives to reach a common goal, showcasing your adaptability and interpersonal skills.

Express your insights on how AI can reshape financial services by enhancing customer experiences, automating processes, and providing data analytics. Share examples or predictions of emerging AI trends that you believe will have a significant impact in the industry, portraying your understanding of the sector's dynamics.