AI Engineer

Cairo - Egypt

Monthly Salary: Not Disclosed

Experience Required: 1-3years

Posted on: 11 hours ago

Vacancies: 1 Vacancy

Job Summary

We are seeking an experienced AI Engineer with a strong background in Retrieval-Augmented Generation (RAG) processes function calling Python programming API integration fine-tuning and a deep understanding of Arabic content and its unique challenges. The ideal candidate will have a proven track record of delivering high-quality AI projects to real clients and will be adept at navigating the intricacies of Arabic language processing.

Key Responsibilities:

Design develop and implement AI solutions utilizing Retrieval-Augmented Generation (RAG) methodologies to enhance information retrieval and generation processes.
Develop and deploy AI/ML solutions on cloud platforms.
Program custom RAG applications to enhance capabilities for chatbots document analysis and image recognition.
Utilize AI/ML frameworks such as TensorFlow PyTorch and scikit-learn for model development.
Manage cloud infrastructure and data pipelines for AI/ML applications.
Collaborate with cross-functional teams to integrate AI functionalities into existing systems through robust API integrations.
Conduct fine-tuning of pre-trained models to adapt them to specific client requirements ensuring optimal performance and accuracy.
Address and overcome challenges associated with processing and generating Arabic content ensuring cultural and linguistic nuances are accurately handled.
Stay updated with the latest advancements in AI technologies and propose innovative solutions to improve our offerings.

Requirements

Qualifications:

Bachelors or Masters degree in Computer Science Data Science or a related field.
3 years of experience in developing and deploying AI/ML solutions.
Proficiency in Python and experience with AI/ML frameworks (e.g. TensorFlow PyTorch scikit-learn).
Proven experience in implementing Retrieval-Augmented Generation (RAG) processes in real-world projects.
Demonstrated ability to deliver high-quality AI projects to clients meeting specified requirements and timelines.
Experience with function calling and its application in AI projects to enhance model capabilities.
Strong expertise in Python programming with a focus on developing scalable and efficient code.
Experience in integrating APIs to enhance AI system functionalities and data accessibility.
Proficiency in fine-tuning AI models to improve performance on specific tasks or datasets.
Excellent problem-solving skills and the ability to work collaboratively in a team environment.
Strong communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Preferred Qualifications:

Experience with large language models (LLMs) and transformer architectures.
Knowledge of cloud infrastructure management and data preprocessing for AI/ML.
Familiarity with RAG applications API integration and containerization (Docker Kubernetes).
Strong problem-solving skills and excellent communication abilities.

Required Skills:

Proven experience as a Full-Stack Developer with expertise in MEAN stack technologies Strong proficiency in JavaScript HTML CSS and related web technologies. Experience with database design and development using MongoDB database. Proficiency in server-side programming with and . Experience with front-end frameworks such as Angular 2. Solid understanding of RESTful APIs and microservices architecture. Familiarity with version control systems (e.g. Git) and agile development methodologies. Excellent problem-solving and analytical skills with a keen attention to detail. Strong communication and interpersonal skills with the ability to work effectively in a collaborative team environment.

Key Responsibilities:

Design develop and implement AI solutions utilizing Retrieval-Augmented Generation (RAG) methodologies to enhance information retrieval and generation processes.
Develop and deploy AI/ML solutions on cloud platforms.
Program custom RAG applications to enhance capabilities for chatbots document analysis and image recognition.
Utilize AI/ML frameworks such as TensorFlow PyTorch and scikit-learn for model development.
Manage cloud infrastructure and data pipelines for AI/ML applications.
Collaborate with cross-functional teams to integrate AI functionalities into existing systems through robust API integrations.
Conduct fine-tuning of pre-trained models to adapt them to specific client requirements ensuring optimal performance and accuracy.
Address and overcome challenges associated with processing and generating Arabic content ensuring cultural and linguistic nuances are accurately handled.
Stay updated with the latest advancements in AI technologies and propose innovative solutions to improve our offerings.

Requirements

Qualifications:

Bachelors or Masters degree in Computer Science Data Science or a related field.
3 years of experience in developing and deploying AI/ML solutions.
Proficiency in Python and experience with AI/ML frameworks (e.g. TensorFlow PyTorch scikit-learn).
Proven experience in implementing Retrieval-Augmented Generation (RAG) processes in real-world projects.
Demonstrated ability to deliver high-quality AI projects to clients meeting specified requirements and timelines.
Experience with function calling and its application in AI projects to enhance model capabilities.
Strong expertise in Python programming with a focus on developing scalable and efficient code.
Experience in integrating APIs to enhance AI system functionalities and data accessibility.
Proficiency in fine-tuning AI models to improve performance on specific tasks or datasets.
Excellent problem-solving skills and the ability to work collaboratively in a team environment.
Strong communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Preferred Qualifications:

Experience with large language models (LLMs) and transformer architectures.
Knowledge of cloud infrastructure management and data preprocessing for AI/ML.
Familiarity with RAG applications API integration and containerization (Docker Kubernetes).
Strong problem-solving skills and excellent communication abilities.

Required Skills: