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Machine Learning & AI Engineer - Immediate Hiring
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Key Responsibilities AI & Machine Learning Development
- Develop text-based models and process both structured and unstructured data.
- Design and implement machine learning and deep learning models for specific business applications.
- Improve machine learning algorithms to enhance performance and accuracy.
- Apply deep learning frameworks such as TensorFlow and PyTorch to build and deploy neural networks.
- Manage and process large datasets, including cleaning, transforming, and extracting relevant features for model training.
- Ensure data accuracy, consistency, and reliability through data quality checks and validation.
- Develop and implement methods to improve data integrity, efficiency, and overall data quality.
- Use MLOps tools and practices to monitor, optimize, and deploy AI solutions.
- Develop A/B Testing mechanisms, model quality assessments, and hypothesis validation.
- Evaluate machine learning models and ensure they meet performance expectations.
- Translate business data needs into clear technical system requirements.
- Provide training and technical support to end users on how to effectively use machine learning models.
- Collaborate with cross-functional teams including business analysts and IT specialists to ensure smooth integration of advanced analytics.
- Prepare all required technical documentation according to organizational standards.
- Implement security measures to protect sensitive data and manage appropriate access levels for machine learning systems and models.
- Evaluate and recommend new tools and methods that enhance AI and machine learning capabilities.
- Support advanced analytics initiatives to uncover innovative insights.
- Bachelor's degree in Computer Science, Artificial Intelligence, Data Analytics, or related field.
- 4+ years of experience in machine learning and deep learning.
- Certifications in data analytics or machine learning systems.
- Practical experience with:
- SAS
- Dataiku
- Experience in both public and private sectors, preferably within Saudi Arabia.
- Strong background in data analytics and delivering multiple projects in the same field.
- Ability to work collaboratively with multi-functional teams to ensure seamless integration of advanced analytics.
- Strong expertise in ML and deep learning algorithms.
- Excellent data analysis and feature engineering skills.
- Strong understanding of MLOps frameworks.
- Excellent communication skills and the ability to produce high-quality technical documentation.
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