Artificial Intelligence (AI) Engineer

TAWANTECH; Saudi Arabia; On-site; SAR 150,000 - 200,000; Full time

Job summary

A leading tech company in Saudi Arabia is looking for an experienced AI Engineer to design and implement AI and machine learning solutions tailored to banking. Candidates should have a strong background in machine learning and data science, with 5-7 years of experience. This role involves collaborating with various teams to enhance operational efficiency and customer experience through advanced technologies.

Qualifications

• 5–7 years of experience in AI/ML development and deployment.
• Proficiency in Python and ML libraries.
• Experience with real-world projects involving NLP or Computer Vision.

Responsibilities

• Design, develop, and deploy machine learning models for banking applications.
• Perform data preprocessing and exploratory data analysis.
• Collaborate with teams to define model requirements.

Skills

Machine Learning

Data Science

Python

TensorFlow

NLP

Computer Vision

Predictive Analytics

Education

Bachelor's or Master's degree in Computer Science, AI, or Data Science

Tools

TensorFlow

PyTorch

Scikit-learn

Keras

AWS

Azure

GCP

Job description

Job 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.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field.
• 5–7 years of experience in AI/ML development and deployment.
• Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, Keras.
• Experience with NLP, Computer Vision, or Predictive Analytics in real-world projects.
• Familiarity with MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker).
• Strong understanding of data pipelines, model lifecycle management, and model versioning.
• Experience working with cloud platforms such as AWS, Azure, or GCP.