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AI/ML Software Engineer at Bjak. Remote Location: Petaling Jaya, Malaysia. 📍 Working arrangement: Malaysia (Hybrid : remote + in-office). Build AI Systems That Make Finance Simpler, Smarter, and More Inclusive. At BJAK, we’re using AI to transform how millions of people across Southeast Asia access, understand, and afford insurance and financial services. As an AI/ML Software Engineer, you’ll help architect and build intelligent systems - from fraud detection and personalized recommendations to smart automation and search - that power this mission.. This role is based in Malaysia with a hybrid work arrangement - combining flexible remote work with in-office collaboration at our Kuala Lumpur HQ. You’ll work closely with regional teams across product, engineering, and data to build and scale impactful AI solutions.. Why This Role Matters. You’ll directly impact user experience, automation, and platform intelligence. You’ll help design and deliver production-grade AI systems used by millions. You’ll work cross-functionally and shape ML tools and infrastructure from the ground up. You’ll grow fast in a flat, execution-driven team that values speed, learning, and ownership. What You’ll Do. Define machine learning goals and strategies with product and data teams. Build and deploy models for personalization, automation, and insight generation. Own data preprocessing, feature engineering, model training, tuning, and evaluation. Develop and maintain scalable ML pipelines and infrastructure. Integrate ML outputs into user-facing applications and backend systems. Stay on top of new AI/ML research and tools, and apply relevant innovations. Support system performance, debugging, and optimization in production environments. You’ll Thrive Here If You.... Take ownership - you care about what you build and the outcomes it drives. Work independently and figure things out without waiting for perfect direction. Embrace speed and ambiguity - you're comfortable with shifting priorities. Are curious, motivated, and always eager to grow your technical and product-thinking skills. Enjoy helping teammates and contributing to a humble, high-performing team culture. Are proactive - you solve problems end-to-end, even if it means learning something new. Thrive in a fast-paced, startup environment where done > perfect and learning is constant. Requirements. Bachelor’s degree in Computer Science, Data Science, Engineering, or related field. 2 - 4 years of experience in AI/ML engineering or backend software development. Strong Python programming skills and familiarity with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Solid understanding of the ML lifecycle - from data wrangling to model deployment. Familiarity with deploying models into real-world systems or APIs. Experience using tools like Jupyter, Google Colab, or cloud-based ML platforms. Strong analytical thinking, debugging, and communication skills. Based in Malaysia, with the ability to work in a hybrid setup from PJ HQ. Nice to Have. Experience in NLP, computer vision, or recommender systems. Exposure to cloud infrastructure (e.g., AWS, GCP). Familiarity with Docker, Git, CI/CD, or model deployment pipelines. Experience working in fast-growth startups or agile product environments. What You’ll Get. Competitive salary and performance-based bonuses. Hybrid work flexibility; remote work plus in-person collaboration at our PJ HQ. High ownership and visibility - your work will reach millions. Rapid learning and growth in a mission-driven company. Flat structure where your voice is heard and ideas are valued. Cross-border exposure to regional product development. About BJAK. BJAK. is Southeast Asia’s largest digital insurance platform. Headquartered in Malaysia and operating in Thailand, Taiwan, and Japan, we help millions of users access transparent, affordable financial protection via . Bjak.com. . We simplify complex financial products through cutting-edge technologies — including APIs, automation, and AI — to build the next generation of intelligent financial systems.. If you're excited to build real-world AI systems and grow fast in a high-impact environment — we’d love to hear from you.