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Open nowPosted 7 hours ago

AI, Developer

Workable (global search)108,016 open roles

Where
Riyadh, Riyadh Province, Saudi Arabia
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Your applicationOpen nowAI, DeveloperWorkable (global search) · Riyadh, Riyadh Province, Saudi Arabia

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The clock on this job

Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 7 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 7 hours ago

Workable (global search) median: 7 days open

The posting

Master Works is seeking an AI, Developer to lead the development of intelligent solutions leveraging Artificial Intelligence technologies, with a focus on Generative AI and advanced analytics.

The successful candidate will transform data into valuable business insights and develop AI-powered applications that drive smarter decision-making, improve operational efficiency, and support digital transformation initiatives.

Key Responsibilities:

  • Design, develop, train, and optimize machine learning models for real applications or use cases.
  • Translate business and product requirements into scalable ML/AI solutions.
  • Implement feature engineering, model selection, tuning, and evaluation techniques.
  • Develop, and deploy ML models into production environments with high availability and performance.
  • Build and maintain ML pipelines (training, validation, deployment, monitoring).
  • Monitor model performance, data drift, and model decay; retrain models as needed.
  • Ensure models meet reliability, scalability, and security standards.
  • Work closely with Data Scientists, Product Managers, and Software Engineers.
  • Collaborate with data engineering teams to ensure high-quality, reliable data pipelines.
  • Participate in design and code reviews, ensuring engineering best practices.
  • Optimize models for latency, throughput, and cost.
  • Implement experimentation frameworks (A/B testing, offline evaluation).
  • Apply responsible AI principles, including fairness, explainability, and governance where required.

Requirements

Requirements & Qualifications:

  • +4 years of hands-on experience in Machine Learning or applied AI roles.
  • Strong programming skills in Python (and/or Java, Scala).
  • Solid understanding of ML algorithms (supervised, unsupervised, deep learning).
  • Experience with frameworks such as TensorFlow, PyTorch, Scikit-learn.
  • Experience deploying models using Docker, Kubernetes, or cloud ML services.
  • Strong knowledge of data structures, algorithms, and software engineering principles.
  • Experience working in agile, cross-functional teams.
  • Experience with cloud platforms (AWS, Azure, or GCP) and managed ML services.
  • Hands-on experience with MLOps tools (MLflow, Kubeflow, Airflow, SageMaker, Azure ML).
  • Experience with big data technologies (Spark, Kafka, Databricks).
  • Background in NLP, Computer Vision, or Generative AI.
  • Strong problem-solving and analytical thinking
  • Production-first mindset
  • Data-driven decision making
  • High Collaboration and communication skills

Tools & Technologies:

  • Dataiku
  • SQL server
  • Power bi,
  • Aws bedrock

Job Location: Client site

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