- 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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AI amp Data Engineer - Doha, دولة قطر - Talent Pal
وصف
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:
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:
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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