scaleai
Applied AI Engineer, International Public Sector
AI 요약
Scale AI is hiring for the position of Applied AI Engineer, International Public Sector. The role is categorized under '개발' with subcategories '소프트웨어 엔지니어' and '머신러닝 엔지니어'. The job location is in the Middle East and London, UK. The main responsibilities include partnering with public sector clients to define AI-driven solutions, building and deploying AI applications, and collaborating with cross-functional teams. The ideal candidate should have a Bachelor's degree in a related field, 2+ years of engineering experience, and proficiency in programming languages like Python and Java. Preferred qualifications include startup experience and proficiency in Arabic. The position is not open to fresh graduates.
주요 업무
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 computer vision and/or language models, including fine-tuning and optimization. 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.
자격 요건
A strong engineering background, with a Bachelor’s degree in Computer Science, Mathematics, or a related quantitative field (or equivalent practical experience). 2+ years of post-graduation engineering experience, with demonstrated proficiency in languages such as Python, Java, C++, or TypeScript/JavaScript. 1+ years of experience applying AI/ML in production environments, such as training models, deploying deep learning solutions, or building generative AI applications. Familiarity with cloud-based machine learning tools and platforms (e.g. AWS, GCP). 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.