Head of AI Engineering, South Korea

To qualify for the Head of AI Engineering position at Bjak, a Bachelor's, Master's, or Ph.D. in Computer Science, Artificial Intelligence, or a related field is essential. Proven experience as an AI engineer or data scientist with a strong track record of leading successful AI projects is also required. Additionally, proficiency with AI and machine learning frameworks and programming languages such as Python is necessary.

The Head of AI Engineering at Bjak will lead and mentor a team of AI engineers, design and implement AI models to address complex business challenges, and oversee the entire AI model lifecycle. You'll also collaborate with product managers to define project objectives, stay updated on the latest advancements in AI, and ensure all solutions are secure, scalable, and efficient.

To be successful as the Head of AI Engineering at Bjak, candidates must possess excellent problem-solving and critical-thinking skills along with strong expertise in data preprocessing, feature engineering, and model evaluation. Effective leadership and communication abilities are crucial, as well as a passion for the latest advancements in AI and machine learning.

At Bjak, the work environment is dynamic and international, fostering creativity and collaboration. The organization features a flat structure that promotes open communication, making it an exciting place for the Head of AI Engineering to contribute to impactful projects while mentoring a talented team.

Bjak offers strong learning and development plans for the Head of AI Engineering, along with great career development opportunities in a rapidly growing company. You'll have the chance to work on unique business problems and accelerate your professional growth while positively impacting millions of users.

Leading a team effectively requires clear communication and setting a vision. I'd focus on mentoring each team member, encouraging innovative thinking while aligning everyone with our project goals and company mission.

I have extensive experience managing AI projects from conception to deployment. I ensure all phases are executed smoothly, including data collection, model development, testing, and integration into business processes.

I'm proficient in several AI frameworks, such as TensorFlow and PyTorch, and I have solid experience with programming languages like Python and R, which I use for developing and deploying machine learning models.

I previously led a project that developed an AI-driven customer segmentation tool which increased our target marketing effectiveness by 30%. Collaborating with cross-functional teams was key to its success.

I stay current by regularly reading AI journals, attending conferences, participating in online courses, and interacting with fellow professionals in the field to exchange ideas and best practices.

My approach is to first understand the problem thoroughly, then brainstorm multiple potential solutions, validate them with data, and finally implement the most effective solution while continually monitoring its performance.

Collaboration is incredibly important. Working closely with product managers and other stakeholders ensures that AI initiatives align with business goals and have all the necessary support for success.

I would integrate best practices for security in the design phase, conduct regular assessments and audits, and implement efficient algorithms to ensure optimal performance while safeguarding user data.

I'm motivated by the potential of AI to make a significant impact on people's lives. At Bjak, I see an opportunity to lead a talented team in creating solutions that improve financial access for many.

My long-term goal is to build a high-performing AI team that consistently delivers innovative solutions while contributing to Bjak's mission. I also aim to foster a culture of continuous learning and improvement within the team.