R&d Intern

1 week ago


Singapore Digital Place Vision Pte Ltd Full time

Company

Digital Place Vision Pte Ltd
- digitalplace.ai

Designation

R&D Intern (IO)

Date Listed

08 Oct 2025

Job Type

Entry Level / Junior Executive
- Intern/TS

Job Period

From Jan 2026, For At Least 3 Months

Profession

IT / Information Technology

Industry

Computer and IT

Location Name

Church Street, Samsung Hub, Singapore

Address

3 Church St, Singapore 049483

Map

Allowance / Remuneration

$1,200 monthly

Company Profile

The company is focusing itself in building AI and Automation solutions for Retailers within the group.

**Job Description**:
As an R&D intern at DPV you will have an opportunity to develop a demand forecasting model that powers an inventory optimization system for our client, one of the biggest retail chains in Asia with 25,000+ stores across the region. Under the guidance of our data scientists, you will be involved in the full process of developing a machine learning model, from dataset preparation to model training, evaluation, and documentation. By the end of the internship, you would have gained valuable experience in processing a large amount of real-world data, as well as exposure to the considerations and techniques in ensuring the success of an AI/ML project.

**Requirements**:

- Proficiency in Python.
- Proficiency in scientific computing packages, such as Pandas, Numpy, SciPy.
- Proficiency in visualization tools, such as Matplotlib, Seaborn, Plotly.
- Proficiency in Git version control system.
- Good background in probability, statistics and data analytics.
- Knowledge and experience in training and evaluating common ML regression models.
- Problem-solving aptitude, inquisitive mindset, and passion in data & AI/ML.

Good to have:

- Knowledge/experience in time series forecasting.
- Knowledge/experience in the inner workings of modern machine learning algorithms, particularly gradient boosting (XGBoost, LightGBM), deep learning, and clustering algorithms is highly advantageous.
- Experience with cloud platforms, particularly GCP.
- Experience with high-performance data manipulation tools, such as Polars
- Experience with out-of-memory parallel & distributed computing tools for big data, such as Dask.

Application Instructions


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