Lead AI Engineer
BJAK

About Us
At Bjak, we are committed to making financial services more accessible, affordable, and sustainable for people across ASEAN. Headquartered in Malaysia, Bjak is the largest insurance platform in Southeast Asia, helping millions find the best value and highest coverage insurance policies through our platform, Bjak.com.
We leverage cutting-edge technology, including Custom APIs, trading systems, and data science, to simplify financial services that were once complex and inaccessible. Our ability to navigate complex regulations has enabled us to pioneer groundbreaking products, such as offering investment-linked life and health insurance online with instant agent support.
We are looking for a Lead AI Engineer to join our team in Malaysia. This is a hybrid role, requiring candidates to work both on-site at our Malaysia office and remotely when needed. If you are passionate about AI-driven innovations and eager to work on high-impact projects, we’d love to hear from you.
Key Responsibilities
- Lead and mentor a team of AI engineers, providing technical guidance, coaching, and fostering their growth.
- Collaborate with product managers and stakeholders to define AI project objectives, requirements, and timelines.
- Design, develop, and implement AI models, algorithms, and applications to solve complex business challenges.
- Oversee the end-to-end AI model lifecycle, including data collection, preprocessing, model training, evaluation, and deployment.
- Stay updated with the latest advancements in AI and machine learning, incorporating best practices into projects.
- Drive data-driven decision-making through advanced analytics and visualization techniques.
- Ensure the security, scalability, and efficiency of AI solutions.
- Lead research efforts to explore and integrate cutting-edge AI techniques
Requirements
- 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, with a track record of leading successful AI projects.
- Proficiency in AI and machine learning frameworks and programming languages (e.g., Python).
- Strong expertise in data preprocessing, feature engineering, and model evaluation.
- Excellent problem-solving and critical-thinking skills.
- Effective leadership, communication, and team management abilities.
- A passion for staying at the forefront of AI and machine learning advancements.
Benefits
- Hybrid mode: Flexibility to work from home or in the office
- Innovative Challenges: Work on fast-moving, challenging, and unique business problems.
- Career Growth: Benefit from strong learning and development plans for your career growth.
- Global Environment: Thrive in an international work environment with a flat organizational structure.
- Competitive Salary: Receive a competitive salary package.
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