About the Job
SCAI is a leading champion in the AI industry, wholly owned by the Public Investment Fund (PIF). We operate as PIF’s arm in the AI and emerging technologies sector to support its strategy and national priorities, driving innovation within the technology sector and positioning Saudi Arabia as a globally competitive hub for advanced technologies. Our mission is to provide innovative and impactful AI and emerging technology solutions at scale, helping our partners solve complex challenges to accelerate growth and drive business outcomes. We implement change in mindset, work culture, and business models to create new value, increase efficiency, upgrade customer experiences, and reduce human error.
Job Responsibilities
- Develop, deploy, and optimize deep learning models, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Long Short-Term Memory networks (LSTMs), and Generative Adversarial Networks (GANs).
- Implement predictive modeling and forecasting methodologies, with experience in ARIMA models.
- Manage and mentor a team of data scientists and engineers, providing guidance on best practices, technical challenges, and career development.
- Oversee the end-to-end management of data pipelines, ensuring smooth operations from data sourcing to insights generation.
- Coordinate with cross-functional teams to integrate AI models and solutions into business processes.
- Work across various cloud platforms, including Azure and AWS, to deploy AI models and manage data processing workflows.
- Apply knowledge of Natural Language Processing (NLP), Generative AI (GenAI), and Computer Vision to address complex business challenges.
- Utilize and contribute to data analytics open-source technologies, such as Hadoop, Spark, and Kafka.
- Write efficient and scalable code using Python or R for data analysis, model development, and deployment.
- Create and maintain data visualizations using tools like PowerBI and Tableau to communicate insights effectively to stakeholders.
Job Requirements
- Bachelor's or master’s degree in computer science, data science, or a related technology field.
- Proven experience in developing and deploying neural network and deep learning models (CNNs, RNNs, LSTMs, GANs).
- A minimum of 9 years of professional experience in data engineering or AI systems development.
- Strong background in predictive modeling and statistical forecasting techniques, including ARIMA models.
- Experience in leading and managing a team, with the ability to mentor junior members.
- Hands-on experience managing complex data pipelines from data sourcing to insights generation.
- Proficiency in multiple cloud platforms, such as Azure and AWS.
- Solid knowledge of NLP, Generative AI, and Computer Vision technologies.
- Experience with data analytics open-source technologies (Hadoop, Spark, Kafka).
- Proficient in Python or R for data analysis, model development, and deployment.
- Familiarity with data visualization tools (PowerBI, Tableau).
- Strong leadership and communication skills with a proven ability to collaborate effectively across teams.
