Machine Learning & AI Engineer - Internship in Bali

Location: Bali, Indonesia (On-site only)

Compensation: Unpaid Internship

Role Overview

Join us in Bali to drive AI and automation initiatives across our portfolio. This role is for individuals passionate about leveraging AI to optimize business processes, improve efficiency, and unlock new opportunities for growth. You will work with portfolio companies to identify automation opportunities, implement AI-powered solutions, and analyse data to drive strategic decisions.

Key Responsibilities

• Identify and analyze business processes to uncover opportunities for automation.
• Utilize AI tools to build and deploy automation workflows.
• Apply machine learning models for predictive analysis, data classification, and process optimization.
• Develop dashboards and reports to monitor the performance of automated systems and their business impact.
• Collaborate with technical and non-technical teams to integrate AI solutions into existing business operations.
  
  

Role-relevant skills

• Python: Develop automation scripts, AI models, and data analysis tools, ensuring efficient problem-solving in automation projects.
• Pytorch: Build and train machine learning models, specifically deep learning algorithms for automation tasks.
• Scikit-learn: Implement machine learning algorithms for data analysis, pattern recognition, and process optimization.
• MATLAB/Simulink (a huge plus!): Apply for modeling, simulation, and analyzing automation systems to enhance control and system performance.
• Raspberry Pi/ESP-32 (a huge plus!): Prototype and develop IoT-based automation solutions, enabling real-world application testing.
• Knowledge of cloud infrastructure (a huge plus!): Apply knowledge of cloud platforms like EC2, S3, Lambda, Cloudwatch, Docker, and Kubernetes to deploy, manage, and scale automation systems in the cloud.   

Learning Outcomes

You will gain practical experience in your field, learn to leverage AI tools to scale operations, and develop a deep understanding of how high-growth organizations build and manage teams. You will learn to think strategically, manage multiple stakeholders, and develop systems that drive operational efficiency. This experience will position you for roles at startups, venture-backed companies, and growth-stage organizations.

What We Are Looking For

• Can-do Attitude: You have a proactive mindset and an entrepreneurial spirit. You are self-driven and can thrive in fast-paced work environments.
• Ambitious: You are highly adaptive and curious, and motivated to learn new skills.
• Learning Agility: You are committed to continuous learning, adapting in dynamic environments, and tackling problems head-on.
• AI Tech-savvy: You have prior experience in leveraging AI to accelerate workflows.
• Independent and Collaborative: You can work independently while working effectively with others, as part of a cross-functional team.
• International: You have a global mindset and can work in a diverse team.
• English: You have a professional working proficiency in the English language.

What We Offer

This internship provides direct exposure to how companies scale operations. We actively support connections to opportunities that align with career goals. Work hours are 11 AM to 5 PM, providing flexibility to balance professional development with life in Bali. Housing options are available based on preference, from quiet, focused environments to collaborative co-living spaces. You will be part of an international community of entrepreneurs, building meaningful networks and relationships.

Important Note: This is an unpaid internship. We do not cover accommodation, visa, or flights. What we offer is the opportunity to build practical skills, free lunch, work on real business challenges, and gain experience in a high-growth environment.

Relocation: Mandatory relocation to Bali, Indonesia. No remote options available.

Start Date: ASAP

We encourage you to apply even if you do not meet all of the listed requirements. We value diverse experiences and are open to candidates who are eager to grow and contribute to our team.