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We are seeking a Machine Learning / AI Engineer based in Indonesia to join our growing R&D team.

You will help us build next-generation AI-powered solutions in the healthcare and medical imaging domain, leveraging LLMs (Large Language Models) and Retrieval-Augmented Generation (RAG) techniques for intelligent data processing, knowledge integration, and advanced medical diagnostics support.


Key Responsibilities

  • Design, train, and optimize machine learning models, including LLMs and vision models for medical imaging.
  • Develop and deploy RAG pipelines that integrate LLMs with domain-specific data.
  • Collaborate with data scientists, software engineers, and medical experts to develop AI-driven healthcare products.
  • Preprocess and annotate medical imaging datasets (e.g., MRI, X-ray, ultrasound).
  • Evaluate model performance using domain-relevant metrics.
  • Deploy models into production environments using modern MLOps practices.
  • Research and implement the latest advancements in multimodal AI, medical imaging, and generative AI.


Required Skills & Qualifications

  • Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field.
  • 2+ years of experience with machine learning or deep learning frameworks (PyTorch, TensorFlow).
  • Hands-on experience with LLMs (OpenAI, Hugging Face, LangChain, etc.).
  • Familiarity with RAG (Retrieval-Augmented Generation) concepts and vector databases (FAISS, Milvus, Pinecone, etc.).
  • Experience with medical imaging datasets (e.g., DICOM, chest X-ray, ultrasound).
  • Strong Python programming skills.
  • Experience with API integration and cloud deployment (AWS, GCP, or Azure).
  • Based in Indonesia (citizen or legal resident).


What We Offer

  • Competitive salary and performance-based bonuses.
  • Flexible remote or hybrid working environment.
  • Opportunity to work on impactful healthcare AI products.
  • Professional growth and mentorship in cutting-edge AI technologies.
  • Exposure to global AI innovation projects.

Note: Please don't apply if you are not already based in Indonesia. You must either be a citizen or legal resident in Indonesia.