Applied AI Engineer, Global Public Sector
About the role
AI engineer role focused on building custom end-to-end AI applications for public sector clients, creating custom datasets, evaluations, and fine-tuning models to maximize performance with global reach.
Responsibilities
- 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
Qualifications
- 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 proficiency in Python, TypeScript/JavaScript, Java, or C++
- 2+ years of experience applying AI/ML in production environments (e.g., deploying deep learning solutions, building generative/agentic AI applications, or setting up evaluation 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 ML models and datasets
- Excellent written and verbal communication skills for cross-functional collaboration
Skills

About Scale AI
Data-centric infrastructure to accelerate the development of AI
Scale accelerates the development of AI within organizations of any size to deliver critical business insights and operational efficiency. Its data-centric infrastructure platform leverages RLHF (Reinforced Learning with Human Feedback) to help organizations build the strongest AI models that supercharge their business, with customers across industries including Meta, Microsoft, U.S. Army, DoD’s Defense Innovation Unit, Open AI, General Motors, Toyota Research Institute, Brex, Instacart and Flexport.
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