AI & Data Engineer Entry Level

Qatar Mobility Innovations Center

Employer Active

Posted 5 hrs ago

Experience

0 - 2 Years

Job Location

Doha - Qatar

Education

Bachelors in Computer Application(Computers)

Nationality

Any Nationality

Gender

Not Mentioned

Vacancy

1 Vacancy

Job Description

Roles & Responsibilities

As a junior member of the Technology Developemnt & Applied Research department you will:

  • Assist in prototyping AI solutions br>Work with senior engineers to build proof-of-concept applications across computer-vision, natural-language, generative AI, and predictive-analytics use cases.
  • Support model evaluation & benchmarking br>Run experiments, gather performance metrics, and help select the most appropriate algorithms, features, or hyper-parameters for each project.
  • Contribute to model packaging & deployment br>Write Dockerfiles, maintain docker-compose (or similar) configurations, and learn modern MLOps practices for taking models from notebook to production.
  • Help build and maintain data pipelines br>Ingest, clean, and transform structured and unstructured data sets that fuel our machine-learning workflows and analytics dashboards.
  • Write clean, testable Python code br>Develop reusable utilities, unit tests, and Jupyter notebooks under the guidance of senior developers.
  • Document and present your work br>Create concise reports, dashboards, and short demos for both technical and non-technical stakeholders.
  • Stay curious and up-to-date br>Follow the latest AI/ML research and industry trends, sharing noteworthy papers, tools, or tutorials with the team.

Desired Candidate Profile

Must-Have (Day 1)

  • Bachelor s degree in AI, Data Science, Computer Science, or a closely related field (class of 2024 or 2025).
  • Solid Python fundamentals: data structures, OOP principles, and working with virtual environments.
  • Introductory knowledge of machine-learning workflows: model training, evaluation metrics, and the basics of overfitting vs. underfitting.
  • Eagerness to learn, clear communication style, and a collaborative mindset.

Nice-to-Have (Learn with Us)

  • Coursework or academic projects involving large-language models, computer vision, signal processing, or similar AI domains.
  • Familiarity with deep-learning frameworks such as PyTorch and TensorFlow.
  • A hands-on internship or capstone project that went beyond classroom assignments.
  • Experience containerizing an application with Docker.
  • Awareness of MLOps practices (CI/CD, monitoring, model versioning).

If you meet most of the Must-Have items, we still encourage you to apply even if the Nice-to-Have list feels ambitious. We ll help you grow!

Company Industry

  • IT - Software Services

Department / Functional Area

  • IT Software

Keywords

  • AI & Data Engineer Entry Level

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Qatar Mobility Innovations Center

The Qatar Mobility Innovations Center (QMIC) is the first national innovations center, owned and founded by Qatar University, with a focus on using R&D to develop and deploy Intelligent Mobility and Smart Cities platforms and technologies. QMIC s main goal is to use locally engineered innovations & knowledge to enable creating home-grown technology industries that address national strategies and tackle regional emerging challenges. It was founded by Qatar University in 2009 and is registered and licensed to operate as a technology innovations center from the Qatar Science and Technology Park (QSTP).

Since 2009, QMIC has been utilizing emerging technologies including Internet of Things (IoT), Artificial Intelligence, and Location-Awareness to deliver data-centric platforms and services. In particular, QMIC has been leading in delivering platforms & solutions focusing on key domains including Intelligent Transport, Logistics & Telematics, Road Safety, and Connected & Autonomous Mobility (CAM).

Through its integrated innovations development & delivery model, QMIC represents a unique and important category within the national Research & Development & Innovations (RDI) enterprise in Qatar that is strategically-driven, R&D-based, solution-focused, and business-oriented.

Read More

https://qmic.com/2025/08/17/ai-data-engineer-entry-level-qatari-nationals/

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