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Information & Communication Technology 🏢 Full Time ⭐️ Terverifikasi

AI Engineer

Hitachi eBworx
Canggu, Ubud, Denpasar, Jimbaran, Nusa Dua, Kuta, Badung
Salary Estimate
Rp 20.000.000 – Rp 35.000.000
Newest
Live Update
3 Agustus 2026
Deadline
3 Agu 2027

job description

Join Hitachi eBworx as an AI Engineer and be at the forefront of cutting-edge AI innovation. In this role, you will work with Large Language Models (LLMs), fine-tune AI systems, and develop scalable Agentic AI solutions tailored for financial and enterprise applications. Based in the vibrant tech hubs of Bali, you'll collaborate with a dynamic team to push the boundaries of AI technology, driving impactful solutions that transform industries.

This is a unique opportunity to contribute to high-impact projects while enjoying the work-life balance that Bali offers. Whether you're based in Canggu, Ubud, or any of our other locations, you'll be part of a global team committed to excellence and innovation.

Responsibility

  • Design, develop, and deploy AI models, with a focus on Large Language Models (LLMs) and Agentic AI systems.
  • Fine-tune AI models to optimize performance for financial and enterprise applications.
  • Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.
  • Develop scalable AI architectures that ensure high performance and reliability.
  • Conduct research and stay updated on the latest advancements in AI and machine learning.
  • Implement best practices for data preprocessing, model training, and evaluation.
  • Troubleshoot and resolve issues related to AI model performance and deployment.
  • Document technical processes and contribute to knowledge-sharing within the team.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.
  • Proven experience in developing and deploying AI models, particularly LLMs and Agentic AI systems.
  • Strong programming skills in Python, with experience in AI/ML libraries such as TensorFlow, PyTorch, or Hugging Face.
  • Experience with fine-tuning AI models and optimizing their performance for specific use cases.
  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and AI deployment tools.
  • Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
  • Strong communication skills to effectively convey technical concepts to non-technical stakeholders.
  • Experience in financial or enterprise AI applications is a plus.

Required Skills

AI Machine Learning LLM Agentic AI Python TensorFlow PyTorch Hugging Face AWS Azure Google Cloud

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