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AI Engineering Intern — Bali, Indonesia

EX Epic Inc.

Amsterdam
Intern
0-2 years experience
On-site

Key Skills

Python
PyTorch
TensorFlow
Machine Learning
Model Training
Model Evaluation
Data Pipelines
Application Programming Interfaces
Git
Large Language Models
Embeddings
Retrieval
Agent Architectures
Model Debugging
Software Engineering
Structured And Unstructured Data

Job Description

Location: Canggu, Bali, Indonesia Type: On-site Internship Duration: 4–6 months Compensation: Unpaid internship, with potential opportunities for a future full-time position The Role We are looking for an AI Engineering Intern who wants to work on real models, real data, and real AI systems.You will support the development of AI used across our portfolio companies, including machine learning models, training pipelines, data systems, and intelligent applications. This is not an internship built around theoretical exercises. You will contribute directly to AI systems that support active companies and operational teams. Depending on the project, you may help take a model from an initial idea through training, evaluation, deployment, and improvement in production. What You Could Be Building Your work may include: - Building and fine-tuning machine learning models for production use - Designing and maintaining data pipelines and model training workflows - Integrating AI models into applications, APIs, and backend services - Improving model performance, accuracy, and reliability - Working with large language models, embeddings, retrieval, and agent architectures - Evaluating model outputs and running systematic experiments - Debugging model behavior and identifying failure modes - Writing clean, maintainable code for ML workflows - Working with structured and unstructured data at scale - Testing AI features before production release - Supporting deployment of models into production environments - Contributing to technical decisions around model architecture and training strategy - Working closely with engineers across different technical disciplines Your exact responsibilities will depend on your experience, technical strengths, and the projects currently being developed. The Companies You May Support Our wider group has spent more than 30 years building and operating companies internationally, with experience across New York, London, Tokyo, and Bali. Today, our teams work from a 4,000 sqm campus in Canggu across energy, biotechnology, artificial intelligence, engineering, and software. Projects across the group include: Zero-X — Developing thermochemical conversion and distributed energy systems, with more than 200 installations operating across 11 countries. Seraph Group — Developing decentralized bioproduction systems combining AI, robotics, and synthetic biology. Gemino AI — Building AI technology for industrial control and autonomous operations, including the OptiVX platform and Project Maya wearable AI system. AI plays a growing role across these companies, from operational intelligence and predictive systems to autonomous control and data-driven decision-making. What We're Looking For You may be a good fit if you: - Are currently studying or have recently completed a degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, or a related technical field - Have practical AI/ML experience through university projects, internships, personal projects, research, open-source contributions, or previous employment - Have experience with some of the following: Python, PyTorch or TensorFlow, model training and evaluation, data pipelines, APIs, and Git - Understand core machine learning concepts, model architectures, training dynamics, and evaluation methodology - Have some understanding of how ML systems are structured end-to-end - Are comfortable debugging model behavior instead of only training from a clean starting point - Can research unfamiliar ML problems and learn new techniques independently - Are able to communicate clearly with other engineers and technical team members - Can join us fully on-site in Bali for approximately 4–6 months You do not need experience with every technique or framework we use. We are more interested in strong fundamentals, practical experience, curiosity, and your ability to learn and build. This internship can also be completed as part of a university internship or placement requirement. Internship Setup - 4–6 months based in Canggu, Bali - Fully on-site position - Monday to Friday - Working hours: 11:00 AM–5:00 PM, including a 1-hour lunch break - Approximately 25 working hours per week - Daily lunch provided - On-campus accommodation available at competitive rates - Strong performers may be considered for future full-time opportunities across the group Important Information This is an unpaid internship. You must be available to work from our Bali campus for the duration of the placement.

Core Responsibilities

Build, train, evaluate, and improve machine learning models and workflows, including data pipelines and AI integrations in applications, APIs, and backend services. Help test and deploy AI systems, investigate model behavior, and contribute to technical decisions across the group's companies.

Requirements

Applicants should be studying or have recently completed a degree in computer science, AI, machine learning, data science, software engineering, or a related technical field, and have practical AI/ML experience. They should have relevant technical fundamentals, be able to debug and learn independently, communicate with engineers, and work on-site in Bali for approximately 4–6 months.

Benefits

  • Daily Lunch
  • On-Campus Accommodation Available At Competitive Rates
  • Potential Future Full-Time Opportunities

About EX Epic Inc.

Industry: Venture Capital and Private Equity Principals

Company size: 11-50 employees

We build companies that thrive when everything else breaks. EX Epic Academy invests in and scales ventures across AI, hospitality, and sustainable innovation. We don’t wait for the future. We build it. Operating between the USA and Bali, Indonesia, we’ve spent 20+ years turning ideas into execution across four continents. No theoretical frameworks. Just real businesses, real revenue, real impact. What we do: VENTURE BUILDING https://academy.epicsolutiongroup.com · We invest in and build companies that solve real problems. Sustainable growth. Responsible innovation. Portfolio companies generating collective revenue and profits. GLOBAL EXECUTION Two continents. One mission. We leverage our unique position to spot opportunities others miss and move faster than traditional players. 500 million jobs will be displaced by AI by 2032. Companies that prepare now win. Companies that wait get disrupted.

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