Job Description
- Assisted in training and testing AI models.
- Collected, cleaned, and analyzed datasets.
- Learned to use Python and AI libraries (TensorFlow, PyTorch).
- Helped build data pipelines and dashboards.
- Documented experiments and test results.
- Gained exposure to machine learning lifecycle.
- Assisted with NLP and computer vision projects.
- Learned about AI ethics and compliance standards.
- Worked on supervised and unsupervised learning tasks.
- Supported integration of AI tools into business apps.
- Collaborated with AI engineers on live case studies.
- Contributed to predictive analytics initiatives.
- Assisted in deploying AI models in cloud environments.
- Explored emerging AI trends and technologies.
- Participated in weekly team knowledge-sharing sessions.