- 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 decisionmaking.
- Collect preprocess and analyze large datasets to train and validate AI models.
- Implement predictive and LLMbased AI solutions using programming languages (such as Python) and machine learning frameworks (such as PyTorch TensorFlow or scikitlearn).
- Optimize and finetune 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.
- Stay updated with the latest advancements in predictive/generative AI and machine learning research and apply relevant techniques to solve business challenges.
- Document and communicate AI solutions methodologies and best practices to technical and nontechnical stakeholders.
- 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 realworld advantages/drawbacks
- Strong Knowledge of advanced statistical techniques and concepts (regression properties of distributions statistical tests and proper usage etc.) and experience with applications
- Strong Knowledge of neutral networksbased 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.
- Previous experience in applying deep learning techniques for at least two different types of data (structured data text images videos speech/audio etc.) is an important asset
- Solid handson experience in development debugging and troubleshooting software and systems
- Previous experience with some data visualization frameworks and tools: Tableau 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 problemsolving skills and ability to troubleshoot technical issues.
- Excellent written and verbal communication skills for coordinating across teams and create comprehensive and clear technical documentation.
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وصف
Job Status: One Year Contract Position (renewable based on mutual interest)
Target Start Date: Immediately
The Qatar Mobility Innovations Center (QMIC confidential Doha Qatar invites applications for AI & Data Engineer to join our technology & applied research department and work on cuttingedge AI projects.
JOB RESPONSIBILITIES:
The main responsibilities of the AI & Data Engineer include but not limited to:
JOB QUALIFICATIONS:
The applicant should hold a Bachelors or masters degree in Computer Science Engineering Data Science Applied Mathematics or a related field. He/she should have the following skills:
EMPLOYMENT DETAILS:
The position is available immediately.
Interested candidates are invited to send a detailed CV to email protected and cc email protected
Please make sure to write in the subject of the email AI & Data Engineer.
Review of applications will begin immediately and will continue until the position is filled. Only shortlisted candidates will be contacted for interview.
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. QMICs main goal is to use locally engineered innovations & knowledge to enable creating homegrown 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 LocationAwareness to deliver datacentric 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 strategicallydriven R&Dbased solutionfocused and businessoriented.
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