Job Opportunity: Ai

1 month ago

Doha, Qatar Qatar Mobility Innovations Center (QMIC) Full time

**Job Status**: One Year Contract Position (renewable based on mutual interest)

**Target Start Date**: Immediately

**JOB RESPONS**I**BILITIES**:
The main responsibilities of the AI & Data Engineer include but not limited to:

- Collaborate with data scientists and business stakeholders to understand project requirements and define **predictive** or **generative** AI solutions.
- Design and develop machine learning models, algorithms, and neural networks for data analysis, prediction, and decision-making.
- Collect, preprocess, and analyze large datasets to train and validate AI models.
- Implement predictive and LLM-based AI solutions using programming languages (such as Python) and machine learning frameworks (such as PyTorch, TensorFlow, or scikit-learn).
- Optimize and fine-tune AI models for performance, scalability, and accuracy.
- Deploy AI models into production environments, ensuring stability, reliability, and security.
- Monitor and evaluate the performance of deployed models, and iterate on improvements.
- Collaborate with software engineers to integrate AI capabilities into existing or new software systems.
- Document and communicate AI solutions, methodologies, and best practices to technical and non-technical stakeholders.

**JOB QUALIFICATIONS**:
The applicant should hold a Bachelor’s or master’s degree in Computer Science, Engineering, Data Science, Applied Mathematics, or a related field. He/she should have the following skills:

- At least 2 years of relevant experience in data science / AI projects
- Very good knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
- Strong Knowledge of neutral networks-based architectures: CNN, RNN, GAN, RL, etc.
- Strong proficiency in NLP/LLM and the ability to implement NLP techniques effectively.
- Knowledge of Deep learning frameworks: PyTorch, Tensorflow, Keras, etc.
- Solid hands-on experience in development, debugging, and troubleshooting software and systems
- Previous experience with some data visualization frameworks and tools: Tableau, D3.js, Google charts, etc.
- Very good Knowledge and experience in Python to manipulate data and draw insights from large data sets and build data models
- Knowledge of geospatial analytics is desirable
- Prior industrial experience is an asset
- Capability to work autonomously and effectively in an asynchronous work environment.
- Strong problem-solving skills and ability to troubleshoot technical issues.
- Excellent written and verbal communication skills for coordinating across teams and create comprehensive and clear technical documentation.

**EMPLOYMENT DETAILS**:
The position is available **immediately**.

**ABOUT QMIC**:
The Qatar Mobility Innovations Center (QMIC) is the first independent innovations center in the region 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.

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