onsite
AI Engineer Internship - QIMA
AI Engineer
Join the AI team as an intern, supporting the development of computer‑vision and predictive models. Work with Python, TensorFlow and data pipelines to automate inspection processes and gain hands‑on experience in machine‑learning engineering.
About the role
Key Responsibilities
- Assist in designing, training, and evaluating machine‑learning models for product inspection and quality assurance.
- Develop data preprocessing pipelines and perform exploratory data analysis to support model development.
- Implement and fine‑tune deep‑learning architectures using TensorFlow or PyTorch.
- Collaborate with senior engineers to integrate AI solutions into existing inspection workflows.
- Document experiments, results, and code to ensure reproducibility and knowledge sharing.
Requirements
- Currently pursuing a degree in Computer Science, Data Science, Electrical Engineering, or a related field.
- Proficiency in Python and familiarity with machine‑learning libraries such as TensorFlow, PyTorch, or scikit‑learn.
- Basic understanding of deep‑learning concepts, computer‑vision techniques, and data preprocessing.
- Strong analytical skills with the ability to work with structured and unstructured data.
- Effective communication and a proactive attitude toward learning new technologies.
Skills
pythonmachine learningdeep learningdata analysistensorflow