Applied AI Engineer, Global Public Sector
Doha, Qatar; London, UK
Posted 2mo ago
Job Location
Doha, Qatar; London, UK
Tech Stack
Remote Work Policy
On-site
Categories
Applied AI Engineer
About the job
Scale's Global Public Sector team is seeking Applied AI Engineers to build custom, end-to-end AI applications for public sector clients worldwide. This role involves leveraging the latest AI advancements to create impactful solutions, generate high-quality training data for national LLMs, and contribute to upskilling initiatives. You will work on developing and fine-tuning sophisticated models for real-world use cases, aiming to transform public sector operations and enhance citizen services through cutting-edge technology. Join a rapidly expanding team dedicated to shaping the future of AI in the public sector.
Responsibilities
- Partner with public sector clients to understand challenges and define AI solutions.
- Build and deploy end-to-end AI applications into production using the latest AI developments 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 for AI model reliability and effectiveness.
- Participate in customer engagements, including occasional travel.
- Contribute to scaling AI capabilities in the public sector through knowledge sharing.
Requirements
- Bachelor's degree in Computer Science, Mathematics, or a related quantitative field, or equivalent practical experience.
- 7+ years of post-graduation engineering experience.
- Demonstrated proficiency in languages such as 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, 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 machine learning models and datasets.
- Excellent written and verbal communication skills.