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Gameplantech·10 months ago
10 months ago

AI Subject Matter Expert (AI SME)

Washington, United States of AmericaRemoteMid · 2-5 yearsBusiness Analyst

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About this role

AI Subject Matter Expert (AI SME)

Location: Washington, DC Metro Area

 

Role Overview

We are seeking a highly skilled and experienced Artificial Intelligence (AI) Subject Matter Expert (SME) to join our team of technologists. The ideal candidate will have a deep understanding of both classical machine learning methodologies and cutting-edge generative AI. You will be responsible for advising on the design, development, and deployment of sophisticated ML models on Google Cloud Platform (GCP). This role requires a strategic thinker with a passion for research and a desire to solve complex challenges.

Desired Qualifications

  • Extensive experience in classic machine learning methodologies, including but not limited to, regression, classification, clustering, and ensemble methods.
  • Proven experience with generative AI models and techniques, such as Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and large language models (LLMs).
  • Demonstrated proficiency with Google Cloud Platform (GCP) and its suite of machine learning services.
  • Strong programming skills in Python and familiarity with common ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).

What we are looking for in a strong candidate

  • Google Professional Machine Learning Engineer certification is highly desirable.
  • A background working with the United States Air Force or other Department of Defense entities is a significant plus.
  • A strong track record in research, evidenced by publications or contributions to research projects.
  • Familiarity with MLOps principles and practices for the continuous delivery and automation of machine learning models.
  • Excellent problem-solving skills and the ability to work independently and in a team environment.

Key Responsibilities

  • Design and build scalable and efficient ML models using both classic and generative AI techniques.
  • Serve as the go-to expert for all machine learning-related inquiries, providing guidance and mentorship to other team members.
  • Advise and guide teams on how to deploy sophisticated and scalable ML models and pipelines on Google Cloud Platform, leveraging services such as Vertex AI, BigQuery ML, and AI Platform.
  • Conduct in-depth research to stay at the forefront of the rapidly evolving fields of machine learning and artificial intelligence.
  • Collaborate with cross-functional teams to identify opportunities for leveraging machine learning to drive innovation and solve critical business and operational problems.
  • Ensure the robustness, fairness, and ethical implications of all developed models.
  • Effectively communicate complex technical concepts to both technical and non-technical stakeholders.

Why Game Plan Tech?

Join a dynamic and growing team at Game Plan Tech, dedicated to empowering public sector organizations with best-in-class Google solutions. We foster a collaborative environment where you can make a significant impact, drive innovation for our clients, and advance your career.

Game Plan Tech is an equal opportunity employer committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all individuals, regardless of race, color, religion, gender, gender identity, sexual orientation, national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable federal, state, or local law. We value diversity and are committed to ensuring a respectful, inclusive, and supportive environment for all employees, contractors, and applicants.

If you require reasonable accommodation during the application process or employment, please contact hr@gameplan.tech.

 

Company

Gameplantech
Washington, United States of America

Company facts come from this company's own listings. We only show what the postings themselves carry.

Sourced from Gameplantech's careers site·first seen 22 Jun 2026·last verified 8 Sept 2026·How we source jobs

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