This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
Scale’s rapidly growing International Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens; Generating high-quality training data for national LLMs; Upskilling and advisory services to spread the impact of AI. We are hiring Applied AI Engineers to build custom end-to-end AI applications for our public sector clients using the latest developments in the field of AI. You will also get the opportunity to develop and be part of creating custom datasets, evaluations, and fine-tuning these sophisticated models to maximize performance and apply on real world use cases with global reach.
Job Responsibility:
Partner with public sector clients to deeply understand their challenges and define AI-driven solutions
Build and deploy end-to-end AI applications into production leveraging latest developments from the biggest AI labs, and open source models
Collaborate with cross-functional teams, including data annotation specialists, to create high-quality training datasets
Design and maintain robust evaluation frameworks to ensure the reliability and effectiveness of AI models
Participate in customer engagements, including occasional travel (approximately two weeks per quarter)
Contribute to the scaling of AI capabilities in the public sector through hands-on knowledge sharing
Requirements:
A strong engineering background, with a Bachelor’s degree in Computer Science, Mathematics, or a related quantitative field (or equivalent practical experience)
7+ years of post-graduation engineering experience, with demonstrated proficiency in languages such as Python, TypeScript/JavaScript, Java, or C++
2+ years of experience applying AI/ML in production environments, such as deploying deep learning solutions, building generative/agentic AI applications or setting up evaluations pipelines
Familiarity with cloud-based machine learning tools and platforms (e.g. AWS, GCP, Azure)
Strong problem-solving skills, with a data-driven approach to iterating on machine learning models and datasets
Excellent written and verbal communication skills to collaborate effectively in a cross-functional environment
Nice to have:
Experience working at a startup, particularly as founding engineer
Experience building and deploying large-scale AI solutions
Strong written and verbal communication skills to operate in a cross-functional team environment
Proficiency in Arabic (if focused on language models)