Machine Learning & AI Engineer - Immediate Hiring

Key Responsibilities

• AI & Machine Learning Development: Develop text-based models and process both structured and unstructured data.
• Model Design: Design and implement machine learning and deep learning models for specific business applications.
• Algorithm Improvement: Improve machine learning algorithms to enhance performance and accuracy.
• Deep Learning Deployment: Apply deep learning frameworks such as TensorFlow and PyTorch to build and deploy neural networks.

Data Management & Feature Engineering

• 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.

MLOps, Deployment & Monitoring

• 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.

Technical Support & Collaboration

• 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.

Documentation & Security

• 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.

Innovation & Continuous Improvement

• Evaluate and recommend new tools and methods that enhance AI and machine learning capabilities.
• Support advanced analytics initiatives to uncover innovative insights.

Qualifications

• 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.

Required Skills

• 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.