AI, Developer

Master-Works; Riyadh; On-site; SAR 180,000 - 340,000; Full time

Job summary

Master works is seeking an innovative AI & Data Science Specialist to lead intelligent solutions using AI tech, focusing on Generative AI and analytics. You will turn data into business insights and build AI-powered apps to drive smarter decisions and digital transformation.

You will design, train, and optimize ML models, collaborate with data scientists, PMs, and software engineers, and deploy pipelines for production environments with high availability.

Qualifications

• 4+ years hands-on ML/AI experience with real-world use cases.
• Strong Python (and/or Java/Scala) programming skills.
• Solid ML algorithms knowledge across supervision/unsupervision/deep learning.
• Experience with ML frameworks and model deployment tools.
• Experience deploying models in production with cloud services.
• Knowledge of data structures, algorithms, and software engineering.
• Experience in agile, cross-functional teams.
• Familiar with cloud platforms and MLOps tools.

Responsibilities

• Design, train, and optimize ML models for real applications.
• Translate requirements into scalable ML/AI solutions.
• Implement feature engineering, tuning, and evaluation.
• Develop and deploy ML models in production with high availability.
• Build and maintain ML pipelines (training, validation, deployment, monitoring).
• Monitor model performance, data drift, and retrain as needed.
• Ensure reliability, scalability, and security of models.
• Collaborate with data scientists, product managers, and engineers.
• Work with data engineering to maintain high-quality data pipelines.
• Participate in design and code reviews following engineering best practices.
• Optimize models for latency, throughput, and cost.
• Support experimentation (A/B testing, offline evaluation).
• Apply responsible AI principles including fairness and governance.

Skills

4+ years experience in ML/Applied AI

Python

Java/Scala

ML algorithms (supervised/unsupervised

TensorFlow

PyTorch

Scikit-learn

Docker

Kubernetes

Cloud platforms (AWS/Azure/GCP)

MLOps (MLflow/Kubeflow/Airflow/SageMak

Spark/Kafka/Databricks

NLP/Computer Vision/Generative AI

Production-first mindset

Data-driven decision making

Cross-functional collaboration

Tools

TensorFlow

PyTorch

Scikit-learn

Docker

Kubernetes

AWS

Azure

GCP

MLflow

Kubeflow

Airflow

SageMaker

Databricks

Job description

Master works is seeking an innovative AI & Data Science Specialist 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