Digital Place Vision Pte Ltd – R&D Intern (IO)

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.