Bjak is on a mission to provide access to affordable and sustainable financial services for people in ASEAN.
The company is headquartered in Malaysia and is the largest insurance portal in Southeast Asia.
Bjak.com assists millions in finding the best value and highest coverage insurance policies.
The company invests in cutting-edge technology such as Custom API, trading systems, and data science to enable easy access to financial services.
Bjak is known for navigating complex regulations and creating innovative products, including the first platform globally to simplify and offer investment-linked life and health insurance online.
The Machine Learning Engineer will collaborate with product managers and stakeholders to define AI project objectives, requirements, and timelines.
Responsibilities include designing, developing, and implementing AI models, algorithms, and applications to solve complex business challenges.
The role involves managing the end-to-end AI model lifecycle, including data collection, preprocessing, model training, evaluation, and deployment.
The engineer will stay updated with the latest advancements in AI and machine learning and drive data-driven decision-making through advanced analytics and visualization techniques.
Ensuring the security, scalability, and efficiency of AI solutions is also a key responsibility.
Requirements:
A Bachelor's, Master's, or Ph.D. in Computer Science, Artificial Intelligence, or a related field is required.
Proven experience as an AI engineer or data scientist, with a track record of leading successful AI projects is necessary.
Proficiency in AI and machine learning frameworks and programming languages, particularly Python, is essential.
Strong expertise in data preprocessing, feature engineering, and model evaluation is required.
Excellent problem-solving and critical-thinking skills are necessary for this position.
Effective leadership, communication, and team management abilities are required.
A passion for staying at the forefront of AI and machine learning advancements is essential.
Benefits:
The position offers attractive remuneration and performance incentives.
There are strong learning and development plans for career growth.
Great career development opportunities are available in a growing company.
The work environment is international with a flat organization structure.
