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AI amp Data Engineer - Qatar Mobility Innovations Center
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AI amp Data Engineer....
drjobs AI amp Data Engineer - Qatar Mobility Innovations Center العربية

AI amp Data Engineer - Qatar Mobility Innovations Center

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Job Location

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Doha - Qatar

Monthly Salary

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Not Disclosed

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Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Req ID : 2698181

Apply NowJob Opportunity: AI & Data EngineerJob Status: One Year Contract Position (renewable based on mutual interest)Target Start Date : ImmediatelyThe 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 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 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.

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 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 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 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.

EMPLOYMENT DETAILS:The position is available immediately .Interested candidates are invited to send a detailed CV to confidential and cc confidential 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.


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