AI Engineer - Riyadh, KSA

DeepSource Technologies; Saudi Arabia; On-site; SAR 80,000 - 120,000; Full time

Job summary

A leading tech company is looking for a skilled AI Engineer to design and implement AI-powered features in digital products. This role involves developing machine learning models, collaborating with various teams, and ensuring the compliance and efficiency of AI solutions. The ideal candidate should have strong coding experience in Python and familiarity with cloud platforms and MLOps. Join us in creating innovative AI functionalities that meet business needs while ensuring quality and security.

Qualifications

• Strong experience in machine learning and deep learning.
• Hands-on coding experience in Python, primarily with ML libraries.
• Familiarity with MLOps, CI/CD pipelines necessary.

Responsibilities

• Identify opportunities for AI integration into products.
• Build and deploy machine learning models using modern frameworks.
• Optimize AI model performance and ensure compliance.

Skills

Machine learning

Deep learning

Natural Language Processing (NLP)

Python programming

Cloud platforms

REST APIs

MLOps

Tools

TensorFlow

PyTorch

Scikit-learn

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 AI-driven functionalities and ensuring scalable, secure, and high-quality AI implementations.

Responsibilities

• 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.
• 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.
• 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.
• 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).
• 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.

Qualifications

• Technical
  • Strong experience in machine learning, deep learning, and NLP.
  • Hands‑on coding experience in Python (Pandas, NumPy, ML libraries).
  • Experience with cloud platforms (Azure AI, AWS AI, or Google AI).
  • Experience with REST APIs and microservices.
  • Familiarity with MLOps, CI/CD pipelines.
• Soft Skills
  • Strong communication and ability to explain complex AI topics.
  • Product mindset (thinking about user value, not just technology).
  • Problem‑solving and analytical skills.
  • 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.