Job Descriptions :
- 3 years of hands-on experience in building ML models deployed into real-world business applications or research.
- Good understanding of ML/DL framework such as Jupyter Notebook, Anaconda, Tensorflow, Keras, Scikit-Learn, PyTorch, MXNet, etc.
- Experience working with cloud services platform (AWS or Azure) to build ML/DL pipelines; training , evaluating, deploying (Docker container).
- Proficiency with Python and basic libraries for ML such as scikit-learn and pandas
- Strong working knowledge of modern ML/DL algorithms (classification, regression, clustering, hyperparameter tuning, etc).
- Experience in working with LLM for text and image generation
- Experience in working with Generative AI