Head of AI Engineering (Indonesia)

As the Head of AI Engineering at Bjak, one of your core responsibilities will be to develop and optimize AI models to address business challenges. You'll manage the full lifecycle of these models, from data collection to deployment, ensuring they align with our overall business objectives. Additionally, you will collaborate with product managers, stay updated on AI advancements, and lead research efforts to innovate our methodologies.

To qualify for the Head of AI Engineering role at Bjak, candidates must have a Bachelor’s, Master’s, or Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a related field. Proven experience in AI engineering or data science is essential, along with strong programming skills in languages like Python, TensorFlow, or PyTorch.

Yes, at Bjak, the Head of AI Engineering position is fully remote, allowing you to work from anywhere in Indonesia. We believe in offering our team the flexibility to balance their professional and personal lives while contributing to meaningful projects.

Joining Bjak as the Head of AI Engineering opens up numerous pathways for career advancement within our rapidly expanding company. You'll be part of an international team that values learning and development, encouraging you to enhance your skills and take on new challenges as we grow in the financial services space.

Bjak prides itself on fostering a fast-moving and dynamic work environment for the Head of AI Engineering. Our culture emphasizes collaboration, innovation, and inclusivity, where every team member is encouraged to share ideas and contribute to our mission of making financial services accessible to all.

Certainly! AI model development involves several key stages: data collection and preprocessing are followed by model training, evaluation, and deployment. During this process, you'll want to ensure you validate your models and iterate based on performance metrics, making it vital to apply best practices learned from past experiences.

I have extensive experience using machine learning frameworks like TensorFlow and PyTorch. I can discuss the projects I've worked on where I implemented various algorithms and optimization techniques, as well as how I ensured efficiency and accuracy in my models.

My approach to problem-solving in AI engineering involves breaking down complex challenges into manageable parts, analyzing data patterns, and collaborating with cross-functional teams to craft solutions that are both innovative and practical. I always keep the end-user in mind to align technical solutions with real-world applications.

I typically employ techniques like data normalization, handling missing values, and feature engineering to enhance the quality of input data for model training. Ensuring clean and well-structured datasets is critical for achieving accurate predictions.

I actively engage with online platforms like research journals, industry conferences, webinars, and AI meetups. I also participate in local and global AI communities to network and share insights with other professionals in the field.

In a previous role, I led an initiative to develop a predictive analytics tool that enhanced customer experience and retention by forecasting potential churn risks. This involved integrating machine learning algorithms and resulted in a significant increase in retention rates, demonstrating the real-world impact of AI.

To ensure scalability, I design models with modular architecture and employ cloud-based solutions for deploying AI applications, which allows for handling increasing amounts of data and user requests without compromising performance.

I have utilized various data visualization tools and libraries like Matplotlib, Seaborn, and Tableau to represent complex datasets visually. This assists in interpreting results and facilitates data-driven decision-making among stakeholders.

I believe in open communication and a collaborative approach when facing disagreements. I would seek to understand their perspective, present data-driven insights and findings, and work towards a mutually agreeable solution that aligns with our goals.

I am passionate about the mission of Bjak to provide accessible financial services. The opportunity to lead AI initiatives within a dynamic team aligns perfectly with my values and skills, making me eager to contribute my expertise to shape the future of finance.