Working Arrangement : Malaysia (Hybrid)
Overview
BJAK is Southeast Asia's largest digital insurance platform, serving millions of users with transparent and affordable financial products. Headquartered in Malaysia and operating in Thailand, Taiwan, and Japan, we're building AI-driven systems that make complex financial services simple, fast, and fair.
Why This Role Matters
- You'll contribute directly to AI systems that have real-world impact on millions of users.
- You'll work alongside a fast-moving team solving complex engineering and product challenges.
- You'll gain hands-on experience building and deploying machine learning models in production.
- You'll be part of a mission-driven company using AI to democratize access to financial services.
What You'll Do
Build and ship production-grade machine learning models for high-impact use casesContribute to model architecture, data pipeline design, and deployment strategiesCollaborate across engineering, data, and product teams to drive AI initiativesSupport the full ML lifecycle - from data preprocessing and model training to monitoring in productionWrite clean, scalable, and well-documented codeStay up to date with the latest developments in AI / ML, and contribute ideas to improve our systems and workflowsParticipate in code reviews and technical discussions with peersYou'll Thrive Here If You...
Enjoy solving real-world problems using practical AI solutionsLike working hands-on with code and delivering models that go into productionValue collaboration and learning from others across different functionsTake ownership of your work and follow through with high-quality deliveryAdapt quickly in a fast-paced, remote-first environmentWant to be part of a team where your work directly contributes to regional impactRequirements
Bachelor's or Master's degree in Computer Science, Engineering, or a related field3-6 years of experience in AI / ML engineering with real-world deployment experienceProficient in Python and familiar with ML frameworks such as TensorFlow, PyTorch, or Scikit-learnSolid understanding of machine learning workflows, from data preprocessing to model evaluationExperience working on applied AI use cases (e.g., recommendation systems, fraud detection, risk scoring, NLP, etc.)Strong problem-solving skills and attention to detailComfortable working hybrid and collaborating with regional teamsBased in Malaysia, with the ability to work in a hybrid setup from PJ HQNice to Have
Experience with MLOps tools like MLflow, Airflow, Docker, or cloud platforms (e.g., GCP, AWS)Familiarity with responsible AI practices (fairness, interpretability, model governance)Experience working in a startup or scale-up environmentInterest in building reusable ML components or internal toolsWhat You'll Get
Competitive salary and performance-based bonusesHybrid work flexibility : remote work plus in-person collaboration at our HQOpportunity to work on AI projects that make a regional impactDirect mentorship from experienced AI leadersFast career growth in a dynamic, high-speed environmentOpen, collaborative team culture that values great ideas and executionAbout BJAK
BJAK is Southeast Asia's largest digital insurance platform, serving millions of users with transparent and affordable financial products. Headquartered in Malaysia and operating in Thailand, Taiwan, and Japan, we're building AI-driven systems that make complex financial services simple, fast, and fair.
Join us in shaping the future of financial access in Asia - with technology that moves fast and solves real needs.
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