onsite
Data Scientist Internship - AI Solutions for Manufacturing
Data Scientist
Join a fast‑paced internship developing AI‑driven forecasting and optimization tools for manufacturing, leveraging Python, machine learning, CI/CD pipelines, and containerized services.
About the role
Key Responsibilities
- Design, implement, and evaluate machine‑learning models for production forecasting and process optimization.
- Develop and maintain API endpoints that expose AI services to internal manufacturing systems.
- Build and automate CI/CD pipelines to ensure reliable model deployment and version control.
- Containerize data‑science workloads using Docker/Kubernetes for scalable, reproducible execution.
- Collaborate with engineers and domain experts to translate manufacturing requirements into data‑driven solutions.
Requirements
- Currently pursuing a degree in Computer Science, Data Science, Engineering, or a related field.
- Proficiency in Python and common ML libraries (e.g., scikit‑learn, TensorFlow, PyTorch).
- Understanding of forecasting techniques and experience with time‑series data.
- Familiarity with CI/CD concepts and container technologies such as Docker.
- Strong analytical mindset, problem‑solving skills, and ability to work in a collaborative team environment.
Skills
pythonmachine learningcicd