Junior AI Engineer: Build Real-World ML for Business

LamdaX; Riyadh; In loco; SAR 60.000 - 90.000; Tempo pieno

Descrizione del lavoro

Lamdax in Riyadh invites a Fresh Graduate AI Engineer to help build practical AI solutions. You will apply academic knowledge to real business problems, collaborate with software engineers, and contribute to data-driven decisions.

The role focuses on developing and testing ML models, deploying and monitoring AI in production, and preparing datasets. A strong foundation in Python, SQL, .NET, and major ML frameworks is expected, with internships or projects as evidence.

Competenze

• Bachelor's degree in CS/AI/DS/SE
• Hands-on experience from internships, university projects, or personal projects developing and testing machine learning models
• Working knowledge of Python, SQL, and .NET
• Experience with at least one major AI framework (TensorFlow, PyTorch, scikit-learn, Hugging Face) is a plus
• Exposure to model deployment or monitoring, APIs, Docker, or cloud services

Mansioni

• Develop and test machine learning models for business applications and insights
• Support deployment and monitoring of AI solutions in production environments
• Document experiments, model performance, and technical findings for team review
• Collaborate with engineers and stakeholders to translate requirements into AI solutions
• Prepare, clean, and analyze datasets for AI model development

Conoscenze

Analytical thinking

Team collaboration

Translate requirements into AI use

Communication

Formazione

Bachelor's degree in Computer Science / Artificial Intelligence / Data Science / Software Engineering

Strumenti

Python

SQL

.NET

Docker

Cloud services

APIs

Descrizione del lavoro

Lamdax in Riyadh invites a Fresh Graduate AI Engineer to help build practical AI solutions. You will apply academic knowledge to real business problems, collaborate with software engineers, and contribute to data-driven decisions.

The role focuses on developing and testing ML models, deploying and monitoring AI in production, and preparing datasets. A strong foundation in Python, SQL, .NET, and major ML frameworks is expected, with internships or projects as evidence.