iSementics, an AI company focusing on Natural Language Processing ,
We are currently seeking a talented Junior Data Scientist with a background in Machine Learning to join our team.
Job Responsibilities:
- responsible for collecting and analyzing large datasets to identify patterns, trends, and insights. They develop statistical models and machine learning algorithms to extract valuable information from the data.
- stay up-to-date with the latest advancements in AI and machine learning. They explore new algorithms, techniques, and methodologies to solve complex problems. They may conduct experiments, run simulations, and prototype new models.
- design and develop machine learning algorithms and models. They work on feature engineering, model selection, hyperparameter tuning, and optimization to improve the performance and accuracy of the models. They also evaluate the robustness and scalability of the algorithms.
- cleaning and preprocessing data before it can be used for analysis and modeling. This involves handling missing data, removing outliers, transforming variables, and ensuring data quality.
- implement machine learning models and algorithms using programming languages such as Python or R. They work with frameworks and libraries like TensorFlow, PyTorch, or scikit-learn to train and deploy models in production environments.
- validate and test models on different datasets to ensure their accuracy, precision, recall, and other performance measures.
Requirements:
Must-Have:
- A Bachelor’s degree in Computer Science, computer engineering, or telecommunications with an accumulative grade of “Very Good” or above.
- Familiarity with machine learning and data science stack of tools:
- Python programming language
- Numpy
- Pandas
- Scikit-learn
- Pytorch
- HuggingFace Library
- Completed the following courses, or their equivalents:
1. Computational Thinking using Python, from MIT
2. Algorithms Specialization, from Stanford
3. Machine Learning Specialization, from Stanford and deeplearning.ai
4. Deep Learning Specialization, from deeplearning.ai
5. HuggingFace Course
6. Generative AI with Large Language Models, from AWS and deeplearning.ai
Preferred (big bonus)
Natural Language Processing with Transformers book, by HuggingFace
Intermediate Python Nanodegree, from Udacity
Important Notes
The technical interview questions will be derived from these resources.
No more technical knowledge is required to be hired. You only need to deeply absorb the content in the aforementioned resources, or their equivalents
Working Conditions :
Hybrid.
- Working days: Sunday - Thursday.
- Days Off: Friday- Saturday.
- Location: Downtown - Cairo.
Package: Huge opportunity to learn + Courses covered 100% by the company + Attractive Salary + Social Insurance + Medical Insurance.