Artificial Intelligence (AI) Engineer

Integrated Solutions Tawantech; Saudi Arabia; On-site; SAR 150,000 - 200,000; Full time

Job summary

A leading technology firm in Saudi Arabia is seeking an experienced AI Engineer to design and implement advanced AI and machine learning solutions for enhancing banking operations and customer experience. Candidates should have a strong background in applied machine learning and data science, with responsibilities including model development for fraud detection and credit scoring. This is a pivotal role in improving operational efficiency and compliance within financial services.

Qualifications

• Strong background in applied machine learning.
• Experience with data science and AI systems architecture.

Responsibilities

• Design, develop, and deploy machine learning and AI models.
• Perform data preprocessing and feature engineering.
• Collaborate with business units to define model requirements.

Skills

Applied machine learning

Data science

AI systems architecture

Job description

Overview

We are seeking an experienced AI Engineer to design and implement advanced AI and machine learning solutions that enhance banking operations, customer experience, risk analysis, and process automation. The ideal candidate will have a strong background in applied machine learning, data science, and AI systems architecture.

Key Responsibilities

• Design, develop, and deploy machine learning and AI models tailored to banking and financial services use cases (e.g., fraud detection, credit scoring, customer insights).
• Perform data preprocessing, feature engineering, and exploratory data analysis.
• Work with structured and unstructured data from various sources.
• Collaborate with business units and data engineering teams to define model requirements and deployment strategies.
• Continuously evaluate and improve AI models based on performance metrics.
• Ensure compliance with data privacy, security, and regulatory standards.
• Document processes, experiments, and model outcomes clearly for technical and non-technical stakeholders.