AI Subject Matter Expert – AI SME

Job not on LinkedIn

🕒 February 25

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

👻 Ghost score 51%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Game Plan Tech

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2023

💼 Consulting

🎖️ Defense

🤖 Artificial Intelligence

💰 $550k Series B - GamePlan Technologies on 2013-10

Consulting • Defense • Artificial Intelligence

Game Plan Tech is an AI-native engineering and consulting firm that builds secure, cloud-native systems and modernizes legacy codebases for U. S. government agencies. They specialize in integrating commercial AI and generative-agent capabilities, cloud infrastructure engineering, and cloud-native software development while ensuring strict cybersecurity and compliance (ATO) for federal customers. The company emphasizes outcome-driven engagements, mission-focused teams, and ongoing operational support to deliver scalable, cost-effective solutions.

📋 Description

• 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.

🎯 Requirements

• 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). • 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.

🏖️ Benefits

• equal employment opportunities to all individuals • fostering a diverse and inclusive workplace • reasonable accommodation during the application process or employment