Applied AI Engineer, International Public Sector

1 Day ago • 5 Years +

Job Summary

Job Description

The Applied AI Engineer will build and deploy end-to-end AI applications for public sector clients using computer vision and/or language models, including fine-tuning and optimization. They will collaborate with cross-functional teams, create training datasets, design evaluation frameworks, and participate in customer engagements. The role also involves contributing to the scaling of AI capabilities in the public sector through knowledge sharing. This role requires a strong engineering background and experience in applying AI/ML in production environments.
Must have:
  • Engineering background with a Bachelor's degree.
  • 5+ years of post-graduation engineering experience.
  • 2+ years of experience applying AI/ML.
  • Familiarity with cloud-based machine learning tools.
  • Strong problem-solving and data-driven approach.
  • Excellent written and verbal communication skills.
Good to have:
  • Experience working at a startup.
  • Experience building and deploying large-scale AI solutions.
  • Proficiency in Arabic (if focused on language models).

Job Details

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 multiple Applied AI Engineers to build custom end-to-end AI applications for our public sector clients using computer vision and/or language models created by our team. You will also get the opportunity to fine-tune these sophisticated models to maximize performance and customer value. 

At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you.

You will:

  • 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

Ideally you’d have:

  • A strong engineering background, with a Bachelor’s degree in Computer Science, Mathematics, or a related quantitative field (or equivalent practical experience)
  • 5+ years of post-graduation engineering experience, with demonstrated proficiency in languages such as Python, Java, C++, or TypeScript/JavaScript
  • 2+ 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

Nice to haves:

  • 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)

 

PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI.  Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. 

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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