AI Engineer

Mozn
Riyadh
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 3-5 yearsEducation: bachelorsSkills: ["Consultation","Independence","Autonomy"]

Lead end-to-end design, deployment, and optimization of machine learning and generative AI solutions for public and private sector clients across Saudi Arabia. Build and scale ML models and infrastructure, deploy deep learning/LLM systems to production, and improve training and inference for latency and scalability. Own delivery across data pipelines, model development, backend services, APIs, integrations, and user-facing interfaces.

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FursaFursa
Mozn
Mozn
3 weeks ago

AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 5 minutes agoStatus: Live

Job Summary

Lead end-to-end design, deployment, and optimization of machine learning and generative AI solutions for public and private sector clients across Saudi Arabia. Build and scale ML models and infrastructure, deploy deep learning/LLM systems to production, and improve training and inference for latency and scalability. Own delivery across data pipelines, model development, backend services, APIs, integrations, and user-facing interfaces.
Location: Riyadh
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design, build, and scale machine learning models and supporting infrastructure.
  • •Deploy deep learning and generative models into production for public and private sector projects.
  • •Optimize ML training and inference for performance, latency, and scalability, including monitoring and retraining.
  • •Own end-to-end delivery across data pipelines, model development, backend services, APIs, integrations, and deployment/operations.
  • •Develop data ingestion/processing pipelines and build backend services, APIs, and user interfaces for AI-powered solutions.

Pay and Benefits

Perks:Health Insurance

Key Requirements

  • •Bachelor's or master's degree in computer science or related field.
  • •3-5 years of experience across software engineering, ML engineering, data science, data engineering, and generative AI.
  • •Strong project experience across public and private sectors.
  • •Expertise in Python, TensorFlow, PyTorch, ONNX, and ML deployment frameworks.
  • •Hands-on experience with Docker and Kubernetes, plus MLOps tooling such as MLflow and local LLM deployment frameworks like Ollama.
Experience:3-5 yearsPublic sectorEnterprise AIGenerative AIMLOps
Education:Bachelor's
Skills:ConsultationIndependenceAutonomy
Tech Stack:PythonTensorFlowPyTorchONNXDockerKubernetesMLflowOllamaFastAPIFlaskDjangoNode.jsREST APIsWebhooksReactNext.jsJavaScriptTypeScriptHTMLCSS

Company Brief

Mozn
Builds enterprise AI products and data platforms that help organizations automate decision-making, improve risk management, and extract insights from large datasets. The company focuses on applied machine learning for regulated and data-intensive industries.
Industry: AI & Machine Learning
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Headquarters: Riyadh, Saudi Arabia
Founded: 2017
WebsiteLinkedIn