Data Science Intern (Jan - Jul 2027)

Descripción del puesto:

About the job

The Data Science team at Danone Digital Lab Singapore builds AI systems for digital health applications, including computer vision models deployed in consumer-facing products (e.g., growth tracking, rppg, fraility models).
We are looking for a Deep Learning intern with hands-on experience in training and improving computer vision models, to work directly on production-facing AI systems.
You will work on improving real-world AI models used in production.
Typical work includes:
* Designing and implementing improvements to computer vision models (e.g., classification, detection, segmentation models)
* Running experiments on model architecture, training strategies, and data pipelines
* Reviewing and implementing ideas from recent deep learning / CV literature
* Defining evaluation metrics and benchmarking model performance
* Working with real-world image datasets (noisy, imbalanced, imperfect)
* Works independently with minimal supervision and demonstrates strong task management and communication skills
* Presenting results and trade-offs to technical and non-technical stakeholders

To be successful in this role, you will need…
Required 
* Strong Python programming skills for machine learning and deep learning workflows. 
* Hands-on experience developing, training, and evaluating deep learning models using TensorFlow or PyTorch. 
* Experience with at least one computer vision task such as image classification, object detection, or image segmentation. 
* Demonstrated ability to conduct experiments, including model architecture selection, hyperparameter tuning, error analysis, and performance evaluation. 
* Please include a GitHub, portfolio, publication, or project repository showcasing your deep learning work. 
Preferred 
* Experience working with real-world computer vision challenges, such as data augmentation, class imbalance, noisy labels, limited datasets, or domain adaptation. 
* Experience with MLOps tooling (e.g., MLflow, Docker, CI/CD, model serving, experiment tracking) and/or deploying models into production environments. 
* Ability to read research literature and reproduce, adapt, or extend published methods.
* Experience with modern computer vision architectures (e.g., CNNs, Vision Transformers, U-Net, YOLO). " descriptionHeader="
The Data Science team at Danone Digital Lab Singapore builds AI systems for digital health applications, including computer vision models deployed in consumer-facing products (e.g., growth tracking, rppg, fraility models). 
We are looking for a Deep Learning intern with hands-on experience in training and improving computer vision models, to work directly on production-facing AI systems. 
You will work on improving real-world AI models used in production. 
Typical work includes: 
* Designing and implementing improvements to computer vision models (e.g., classification, detection, segmentation models) 
* Running experiments on model architecture, training strategies, and data pipelines 
* Reviewing and implementing ideas from recent deep learning / CV literature 
* Defining evaluation metrics and benchmarking model performance 
* Working with real-world image datasets (noisy, imbalanced, imperfect) 
* Works independently with minimal supervision and demonstrates strong task management and communication skills 
* Presenting results and trade-offs to technical and non-technical stakeholders " workFromHome="On-site