Ai and Machine Learning Intern

2 days ago


مصر, Egypt Arpu Telecommunication Services Full time

**Position Overview**:We are seeking a motivated and talented AI and Machine Learning Intern to join our dynamic team. The intern will work closely with our engineering teams to develop and implement machine learning models, with a focus on building chatbots and leveraging large language models (LLMs). This role also involves working with biometrics and capturing user data from videos or pictures to drive innovative ideas and improve our platform.

**Key Responsibilities**:

- Develop and implement machine learning models to enhance the ESAAL platform, focusing on chatbots and large language models (LLMs).
- Leverage internal data and existing user conversations to create intelligent and responsive chatbots.
- Work with biometric data, including capturing and analyzing user data from videos or pictures.
- Collaborate with data scientists, engineers, and product managers to understand project requirements and deliver solutions.
- Perform data preprocessing, cleaning, and analysis to prepare datasets for machine learning tasks.
- Evaluate and optimize machine learning algorithms for performance and accuracy.
- Participate in brainstorming sessions and contribute innovative ideas for new features and improvements.
- Document processes, methodologies, and findings in a clear and concise manner.
- Stay up to date with the latest advancements in AI and machine learning technologies.

**Requirements**:

- Senior year in Computer Science, Data Science, Artificial Intelligence, or a related field.
- Strong understanding of machine learning concepts and algorithms.
- Proficiency in Python programming.
- Experience with building chatbots and working with large language models (e.g., GPT, BERT).
- Familiarity with machine learning libraries and frameworks (e.g., TensorFlow, Keras, Scikit-learn).
- Basic experience with biometric data analysis, including capturing and processing data from videos or pictures.
- Knowledge of data manipulation and analysis tools (e.g., Pandas, NumPy).
- Basic knowledge of SQL and database management.
- Excellent problem-solving skills and attention to detail.
- Strong communication and teamwork abilities.



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