Intern - Data Science, Researcher

About Inspectorio

Inspectorio is the leading AI-powered supply chain platform optimizing performance, building resilience, and providing intelligence across production chains for global brands, retailers, and their multi-tier suppliers.

Our innovative platform seamlessly connects and digitizes supply chain processes to optimize decision-making, while providing real-time visibility and control over production chain operations.

Today, Inspectorio is used by over 12,000 customers, including some of the largest brands and retailers in the world.

About the role

We are the Data Science team dedicated to building AI-driven solutions that power real-world impact. We are seeking an AI Researcher Intern with strong potential and a passion for innovation to join us. You will work alongside experienced data scientists and machine learning engineers to explore, prototype, and build solutions in areas such as Large Language Models (LLMs) and Machine Learning (ML).  

This internship is ideal for high-achieving students who are looking to apply their technical skills and research mindset in a real-world environment. 

What you'll do

• Work on an assigned challenging project.

• Assist in researching and developing AI models, particularly in the fields of LLMs, and AI/ML. 

• Support the design and evaluation of prototypes and experiments. 

• Collaborate with team members to analyze results and improve models. 

• Prepare technical documentation and share findings with the team. 

• Stay updated with the latest advancements in AI and Data Science. 

Qualifications

• Currently a Third-year student or Final-year student pursuing a degree in Computer Science, Data Science, Artificial Intelligence, or a related field. 

• Strong academic background demonstrated through national awards (e.g., Vietnam Olympiads, Hackathons, Academic Competitions) or a high GPA 

• Solid foundation in Python programming and prompt engineering. 

• Familiarity with AI frameworks and tools (e.g., LLMs, LangChain). 

• Interest or experience working with Large Language Models (LLMs) and Generative AI is a strong advantage. 

• Ability to work collaboratively in a global team environment. 

• Good English communication skills, both written and spoken (TOEIC, IELTS, or equivalent certifications are a plus). 

We are a global company with a remote-first culture, but we take pride in our vibrant Ho Chi Minh office as a hub for collaboration and innovation. This role is hybrid, so you'll get to enjoy the best of both worlds—flexibility with opportunities to meet, share, and build together.

Benefits

Why it would be awesome to work with us

• 🍹 Unlimited Annual Leave: We prioritize your well-being and trust you to manage your time.

• 🏝️ Flexible Working: Whether from home, a coffee shop, or our global hubs, work where you're most comfortable.

• 💪 Project Ownership: You get to lead  the initiatives you're passionate about, professionally or socially.

• 🌱 Grow with us: We're invested in your personal and professional development.

• 🌎 Global, diverse, and innovative team: Be part of a welcoming community from 30+ countries, where unique perspectives drive innovation.

• 🤝 Feel at home: Work closely with colleagues who value your voice, share our E.A.C.H. values, and help you be the best version of yourself.
• 🎉 Celebrate together: Enjoy remote and hub company and team  events that strengthen our bonds and build a fun culture.

Our Values

• EXCELLENCE: We pursue mastery and craftsmanship. "Good enough" is our enemy. We have a thirst and desire for knowledge. There's always an opportunity to be better.
• AUTONOMY: We act independently when recognizing opportunities for improvement. We seek guidance and clear goals instead of orders. We self-assess the quality and impact of our work.
• COURAGE: We share our opinion, even if it's uncomfortable. We are candid with colleagues. We are willing to experiment and try something new, even if we're not sure it will succeed.
• HUMBLENESS: We crave opportunities to learn from the people around us. We leave our egos outside the office. We focus on listening to other perspectives.