Summer Internship - AI & Data Engineering Intern – Operational Intelligence - Bukit Merah
Company
Spare Parts 3D
sp3d.co
Designation
Summer Internship - AI & Data Engineering Intern – Operational Intelligence
Date Listed
23 May 2025
Job Type
Entry Level / Junior Executive
Intern/TS
Job Period
Immediate Start, For At Least 2 Months
Profession
Engineering
Industry
Artificial Intelligence / Smart Automation
Location Name
91 Lavender Street, Singapore
Address
91 Lavender St., Singapore 338719
Map
Allowance / Remuneration
$400 - 1,000 monthly
Company Profile
Spare Parts 3D, headquartered in France with offices in Singapore and Qatar, is revolutionizing the spare parts industry through cutting-edge 3D printing solutions. Serving sectors like Railway, Energy, and Semiconductors, we enable the digitization of spare parts inventories via our proprietary DigiPART* software and AI-powered visual engine Theia.Our data-driven approach informs strategic decisions on Additive Manufacturing (AM), with global on-demand production capabilities across Australia, Europe, Asia, and the Americas — reducing warehousing costs and streamlining supply chains.
If you're ready to take on real responsibilities, thrive in fast-paced environments, and want to help build the next generation of supply chain technology, this is your opportunity to join a high-impact team!
Job Description
Overall Objective
Explore and prototype the use of AI to enhance internal operational pipelines and customer-facing deliverables, while gaining exposure to real-world data and domain-specific challenges.
Workstream Overview- Pipeline Familiarization & Model Benchmarking (Weeks 1–3)
Goal: Understand the current operational AI pipeline and establish a performance baseline.
Deliverables:
- Review internal workflows and models used (e.g., classification, matching, extraction).
- Evaluate existing outputs using confusion matrix and real-world examples.
- Present a short report highlighting performance, gaps, and improvement priorities.
- AI-Powered Dashboard & Report Assistant (Weeks 4–8)
Goal: Design and prototype an AI assistant that generates summaries, alerts, and standardized reports for customers.
Deliverables:
- Analyze current reporting workflows and formulate standardized report structures.
- Build a basic AI agent to generate insights or automate reporting using tools such as code interpreters, web search/scraping, or LLMs.
- Integrate a lightweight interface (e.g., Streamlit).
- Conduct 1–2 stakeholder demos and incorporate feedback.
- Visual BOM Data Extraction – Use Case Deep Dive (Weeks 6–10)
Goal: Begin tackling the complex problem of extracting structured Bill of Material (BOM) data from visual inputs such as technical drawings or PDF.
Deliverables:
- Focus on 1–2 use cases (e.g., CAD exports, scanned drawings).
- Build a prototype using OCR, layout parsing, or visual AI models.
- Measure accuracy, identify limitations, and document findings.
- Languages: Python, SQL
- Libraries: HuggingFace, OpenCV, LangChain, Tesseract, Pandas, Polars
- Tools: Streamlit, GitLab, Postgres, Microsoft Power BI, Microsoft Office
- AI Services (Optional): OpenAI API, UiPath, Gemini AI , Docker, Google Cloud , AWS
- Familiarity with internal AI pipelines and operational metrics.
- MVP of a reporting assistant with real stakeholder feedback.
- Prototype for extracting structured BOM data from at least one visual format.
- Final-year or graduate-level student in AI, Data Science, or Software Engineering.
- Practical experience with Python and basic machine learning.
- Eagerness to tackle real-world, messy data challenges.
- Bonus: Interest in manufacturing, visual data, or operational processes.
Application Instructions
Please apply for this position by submitting your text CV using InternSG.Kindly note that only shortlisted candidates will be notified.
Apply for this position