Lead AI Engineer, Dublin

As a Lead AI Engineer at BJAK, your primary responsibilities will include leading and mentoring a team of AI engineers, collaborating with product managers to define project objectives, and overseeing the design and implementation of AI models and algorithms. You'll also be deeply involved in ensuring data security and scalability while driving research into the latest AI techniques.

To qualify for the Lead AI Engineer role at BJAK, you should possess at least 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 crucial, along with proficiency in programming languages such as Python and expertise in data preprocessing and model evaluation.

A successful Lead AI Engineer at BJAK will not only have robust technical skills but also exhibit excellent problem-solving and critical thinking abilities. Effective leadership and communication skills are essential for managing teams and collaborating with stakeholders. Additionally, a passion for staying ahead in the AI and machine learning landscape is crucial.

BJAK offers an attractive remuneration package along with performance incentives for the Lead AI Engineer position. Additionally, you'll benefit from strong learning and development plans aimed at your career growth, along with great opportunities for advancement in an international work environment with a flat organizational structure.

At BJAK, we have cultivated a culture where ownership, initiative, and excellence are paramount. As a Lead AI Engineer, your contributions will be recognized, and leadership opportunities are available for those who demonstrate outstanding results. This environment allows for rapid career advancement and personal growth.

When answering this question, share specific projects you have led, highlighting your role in guiding technical decisions and mentoring team members. Discuss the challenges faced and how you overcame them, showcasing your leadership and problem-solving skills.

Explain how you actively engage with the AI community through attending conferences, reading journals, and following industry leaders. This shows your commitment to continuous learning and understanding of evolving technologies.

Outline your philosophy for mentorship, focusing on hands-on guidance, fostering a growth mindset, and promoting independent problem-solving. Share any tools or techniques you use to help others develop their skills.

Discuss the steps you take from data collection and preprocessing to model training, evaluation, and deployment. Emphasize how you integrate feedback and adjustments into your process to optimize outcomes.

Mention metrics that matter in gauging project success, such as accuracy, precision, user engagement, and overall impact on business objectives. This illustrates your data-driven approach.

Describe your preferred approach to conflict resolution, focusing on open communication, understanding different perspectives, and facilitating constructive discussions. This shows your ability to maintain team cohesion.

List the programming languages, particularly Python, and any relevant AI and machine learning frameworks you have experience with. Bring in examples of projects where you effectively utilized these technologies.

Choose a specific algorithm and explain its purpose, implementation details, and results. Ensure you balance technical terminology with clarity to demonstrate your understanding of complexities.

Discuss your practices for implementing security measures and ensuring scalability within your AI solutions, such as code reviews, testing strategies, and adherence to industry best practices.

Share your enthusiasm for BJAK’s mission to simplify lives through AI and the opportunity to contribute to groundbreaking projects. Express your desire for personal growth and meaningful challenges within the company.