AI, Developer

Master-Works; Riyadh; On-site; SAR 260,000 - 420,000; Full time

Job summary

Master Works is seeking an AI Developer to lead the development of intelligent solutions using Generative AI and advanced analytics. The role will transform data into business insights and build AI-powered applications to enable smarter decisions, improve operations, and drive digital transformation.

The candidate will design, train, and optimize models, develop scalable ML solutions, and collaborate with Data Scientists, Product Managers, and Software Engineers to deliver reliable,

Qualifications

• 4+ years hands-on experience in ML/AI roles.
• Strong Python programming (and Java/Scala optional).
• Solid understanding of ML algorithms (supervised, unsupervised, deep learning).
• Experience with TF, PyTorch, Scikit-learn.

Responsibilities

• Design, develop, train, and optimize ML models for real applications.
• Translate requirements into scalable AI solutions.
• Develop and deploy ML models into production with high availability.
• Build and maintain ML pipelines (training, validation, deployment, monitoring).
• Monitor model performance, data drift and retrain as needed.
• Collaborate with Data Scientists, Product Managers, and Engineers.
• Ensure models meet reliability, security standards.
• Implement experimentation frameworks (A/B, offline).
• Apply responsible AI, including fairness and governance.

Skills

Python

ML/DL

NLP

Computer Vision

TensorFlow

PyTorch

Scikit-learn

Docker

Kubernetes

Cloud ML

Spark

Tools

MLflow

Kubeflow

Airflow

SageMaker

Azure ML

Databricks

Spark

Job description

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 & 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