Job Opportunity: Ai

2 weeks ago


Doha, Baladīyat ad Dawḩah, Qatar Talent Pal Full time

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

Target Start Date:
Immediately

JOB RESPONSI
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.
  • 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 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.
  • 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.

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.

This job has been sourced from an external job board.
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