AI Subject Matter Expert (AI SME)Location: Washington, DC Metro Area
Role OverviewWe 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.
