AI/ML Software Engineer (Remote)

BJAK


Tanggal: 3 hari yang lalu
Kota: Pekerjaan jarak jauh, Pekerjaan jarak jauh
Jenis kontrak: Penuh waktu
Jarak jauh
Build AI Systems That Make Finance Simpler, Smarter, and More Inclusive

At BJAK, we’re using AI to make insurance and financial services easier to access, understand, and afford for millions across Southeast Asia. As an AI/ML Software Engineer, you’ll help build the systems and tools that power this mission, from personalised recommendations and fraud detection to intelligent automation and search.

This is a remote role based in Indonesia, working closely with our Malaysia HQ and regional teams. You’ll join a fast-moving environment where your ideas and execution directly shape real-world outcomes.

Why This Role Matters

  • Your work will directly impact user experience, efficiency, and platform intelligence
  • You’ll contribute to production-grade AI systems that serve millions
  • You’ll collaborate cross-functionally and build scalable ML tools from the ground up
  • You’ll grow quickly in a flat, fast-paced, and highly collaborative team

What You’ll Do

  • Work with product and data teams to define machine learning goals and strategies
  • Build and deploy ML models and tools that support personalization, automation, and insight generation
  • Handle data preprocessing, feature engineering, and model training/evaluation
  • Help develop scalable ML infrastructure and pipelines
  • Integrate ML outputs into products and user-facing features
  • Stay updated on the latest AI/ML trends and apply them as relevant
  • Support debugging, optimization, and system maintenance

You’ll Thrive Here If You...

  • Take ownership of your work - you care about what you build and the outcome it drives
  • Are curious and motivated to grow your technical and product-thinking skills
  • Can work independently and figure things out when direction is not always clear
  • Are comfortable in a fast-moving startup with shifting priorities and timelines
  • Have a collaborative, humble attitude and enjoy helping teammates
  • Are proactive in solving problems end-to-end, even if it means learning something new
  • Thrive in ambiguous environments and help bring structure through action

Requirements

  • Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field
  • 2-4 years of experience in AI/ML or backend software development
  • Strong Python skills, with experience in frameworks like TensorFlow, PyTorch, or Scikit-learn
  • Understanding of key ML workflows: data cleaning, model building, evaluation, and tuning
  • Familiarity with API development or model deployment in real-world environments
  • Experience working with tools like Google Colab, Jupyter, or cloud ML platforms
  • Strong problem-solving and communication skills
  • Based in Indonesia and open to remote collaboration

Nice to Have

  • Experience with NLP, computer vision, or recommender systems
  • Exposure to cloud services (e.g., AWS, GCP)
  • Familiarity with Docker, Git, or CI/CD tools
  • Experience working in high-growth or startup teams

What You’ll Get

  • Competitive salary and performance-based bonuses
  • Fully remote work arrangement
  • Fast-paced learning and ownership opportunities
  • Real impact - your work will reach millions of users
  • Flat structure - your voice is heard, your contributions are visible
  • Exposure to regional product development and cross-border collaboration

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 through Bjak.com. We simplify complex financial products using cutting-edge technologies, including APIs, automation, and AI, and we’re building the next generation of intelligent systems that can serve users better, faster, and more fairly.

If you’re excited about applying machine learning to real-world problems and want to grow fast in a mission-driven environment, we’d love to hear from you.

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