1- Developing AI Models:
\[ Model Creation: Designing and building machine learning models to solve specific problems.
\[ Model Training: Training models using large datasets to ensure accuracy and efficiency.
\[ Model Deployment: Transforming models into APIs for integration with other systems.
2- Data Management:
\[ Data Collection: Gathering and preprocessing data from various sources.
\[ Data Cleaning: Ensuring data quality by removing inconsistencies and errors.
\[ Data Storage: Managing databases and data warehouses to store large volumes of data.
3- Statistical Analysis:
\[ Data Analysis: Using statistical methods to analyze data and extract meaningful insights.
\[ Performance Metrics: Evaluating model performance using metrics like accuracy, precision, recall, and F1 score.
\[ Optimization: Fine-tuning models to improve performance and efficiency.
4- Collaboration:
\[ Cross-functional Teams: Working with data scientists, software engineers, and product managers.
\[ Stakeholder Communication: Explaining complex AI concepts to non-technical stakeholders.
\[ Project Management: Leading AI projects from conception to deployment.
Job Details
| Posted Date: | 2024-12-16 |
| Job Location: | Saudi Arabia - Riyadh |
| Job Role: | Research and Development |
| Company Industry: | Other Business Support Services |
Preferred Candidate
| Career Level: | Mid Career |
| Nationality: | Saudi Arabia |
| Degree: | Master's degree |
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