About Us

Bjak is focused on providing access to affordable and sustainable financial services for people in ASEAN. Headquartered in Malaysia, Bjak is the largest insurance portal in Southeast Asia. Our main portal, Bjak.com, helps millions find the insurance policy with the best value and highest coverage for them. Our investments in technology such as Custom API, blockchain, trading systems and data science is to enable easy access to financial services that were previously inaccessible or difficult to understand.

Our core strengths are in navigating the most complex regulations and environments, creating some of the most innovative products in the world. For instance, we are the first platform globally to simplify and offer investment-linked life and health insurance online, coupled with an instant talk-to-agent service.

If you enjoy building cutting edge platforms and ecosystems to give equal access to financial services for the masses - Speak to us.

Lead Machine Learning Engineer

As the Lead Machine Learning Engineer, you will play a pivotal role in shaping the future of our AI-driven products. You will lead a talented team of machine learning engineers, data scientists, and researchers to design, develop, and deploy machine learning models and algorithms that solve complex problems and enhance our products.

Key Responsibilities:

• Lead and mentor a team of machine learning engineers and data scientists, providing technical guidance and support.
• Collaborate with cross-functional teams, including product managers and software engineers, to identify AI opportunities and integrate machine learning solutions into our products.
• Design, develop, and implement machine learning models and algorithms that address business challenges and improve user experiences.
• Lead research efforts to explore and implement state-of-the-art machine learning techniques and technologies.
• Manage the end-to-end machine learning lifecycle, from data collection and preprocessing to model training, evaluation, and deployment.
• Drive data-driven decision-making by leveraging data analytics and visualization tools.
• Stay current with the latest developments in machine learning and AI and share knowledge with the team.
• Ensure the security, scalability, and efficiency of machine learning solutions.

Requirements

• Demonstrated expertise in creating or implementing machine learning models for categorization and labeling.
• Proficiency in at least one programming language, such as Python, Go, C++, Java, or similar.
• Exceptional written and spoken English communication skills, with a strong commitment to collaborating effectively with individuals from diverse cultural and linguistic backgrounds.
• Self-driven, quick to adapt, and a valuable asset to collaborative teams

Benefits

• Do something meaningful; Be a part of the future of finance technology and the no.1 company in the industry!

• Fast moving, challenging and unique business problems

• Attractive remuneration and performance incentives

• Strong learning and development plans for your career growth

• Easy to locate area with direct access to public transport

• Be coached and mentored by experts in your field

• International work environment and flat organization

• Competitive salary

• Hybrid working arrangements

• Flexible working hours & arrangement, Casual work attire