Senior AI Engineer

Mozn
Riyadh
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 5+ yearsEducation: bachelorsSkills: ["Autonomous delivery","Consultative guidance","Problem-solving","End-to-end engineering"]

Lead the design, deployment, and optimization of machine learning and generative AI solutions for government and enterprise clients in Saudi Arabia. Build and scale ML models and infrastructure, deploy deep learning and generative models into production, and improve latency and scalability. Own end-to-end delivery across data pipelines, model development, backend services, APIs, integrations, and user-facing interfaces, while monitoring, retraining, and operationalizing deployed models.

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FursaFursa
Mozn
Mozn
3 weeks ago

Senior AI Engineer

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 2 minutes agoStatus: Live

Job Summary

Lead the design, deployment, and optimization of machine learning and generative AI solutions for government and enterprise clients in Saudi Arabia. Build and scale ML models and infrastructure, deploy deep learning and generative models into production, and improve latency and scalability. Own end-to-end delivery across data pipelines, model development, backend services, APIs, integrations, and user-facing interfaces, while monitoring, retraining, and operationalizing deployed models.
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 the underlying infrastructure.
  • •Deploy deep learning and generative models into production and optimize training and inference for performance, latency, and scalability.
  • •Monitor, retrain, and continuously improve deployed ML models.
  • •Own end-to-end AI solution delivery, including data pipelines, model development, backend services, APIs, integrations, UI, deployment, and operations.
  • •Drive consultation by providing expert guidance to client stakeholders and integrating AI solutions with enterprise systems and databases.

Pay and Benefits

Perks:Health Insurance

Key Requirements

  • •Bachelor’s or master’s degree in computer science or related field.
  • •5+ years of experience across software engineering, ML engineering, data science, data engineering and generative AI.
  • •Strong track record of projects across public and private sectors.
  • •Expertise in Python and ML/GenAI frameworks such as TensorFlow, PyTorch, ONNX, and ML deployment frameworks.
  • •Hands-on experience with containerization and orchestration (Docker, Kubernetes) and MLOps tools such as MLflow, plus local LLM deployment frameworks like Ollama.
Experience:5+ yearsGenerative AIMLOpsPublic sectorEnterprise systemsOn-premise AICloud ML
Education:Bachelor's
Skills:Autonomous deliveryConsultative guidanceProblem-solvingEnd-to-end engineering
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