Job Description

We are seeking a skilled AI Engineer to design, develop, and integrate AI-powered features into the company's digital products. The role focuses on turning business needs into AIdriven functionalities and ensuring scalable, secure, and high-quality AI implementations.



Key Responsibilities

1. AI Feature Development

Identify opportunities to integrate AI/ML into digital products (recommendation engines, automation, NLP, predictive analytics, chatbots, etc.). Build and deploy machine learning models using modern frameworks (TensorFlow, PyTorch, Scikit-learn). Develop AI microservices/APIs to integrate with existing systems.

2. Product Integration

Work closely with product managers, designers, and developers to translate features into technical AI solutions. Optimize AI model performance, user experience, and cost efficiency. Ensure seamless integration into web/mobile/cloud platforms.

3. Data Engineering & Preparation

Work with teams to clean, structure, and prepare datasets. Build data pipelines for training, testing, and monitoring AI models. Ensure data quality, privacy, and governance compliance.

4. AI Strategy & Innovation

Advise leadership on AI opportunities and emerging technologies. Build prototypes, POCs, and MVPs for new AI features. Introduce best practices for model lifecycle management (MLOps).

5. Quality, Security, and Compliance

Ensure AI models meet accuracy, fairness, explainability, and security requirements. Implement monitoring and retraining mechanisms for AI models Document technical solutions, workflows, and architecture

Requirements:

Technical

o Strong experience in machine learning, deep learning, and NLP.

o Hands-on coding experience in Python (Pandas, NumPy, ML libraries).

o Experience with cloud platforms (Azure AI, AWS AI, or Google AI).

o Experience with REST APIs and microservices.

o Familiarity with MLOps, CI/CD pipelines.

Soft Skills

o Strong communication and ability to explain complex AI topics.

o Product mindset (thinking about user value, not just technology).

o Problem-solving and analytical skills.

o Ability to work cross-functionally with product, design, engineering, and business teams.

Preferred Qualifications

Experience integrating AI into enterprise-grade products. Familiarity with LLMs (ChatGPT, Llama models) and prompt engineering. Experience in vector databases, embeddings, or RAG implementations. * Deep Knowledge of data privacy and regulations in Saudi Arabia.