AI Engineer for RAD: Build & Deploy AI Solutions

Amches, Inc.; Annapolis (MD); On-site; USD 110,000 - 170,000; Full time

Benefits offered by this job

401K

PTO

Healthcare

Life insurance

Job summary

Amches, Inc. in Annapolis, MD is seeking an AI Engineer to support TO-005, Report Authoring and Dissemination (RAD). The role involves designing, prototyping, and integrating AI advances into the RAD architecture to augment human decision making and streamline workflows.

You will collaborate with system and software engineers, perform data analysis, train models, and apply MLOps practices on AWS to deploy scalable AI services. This position emphasizes cutting-edge AI adoption and reliability.

Qualifications

• Lead design and development of AI-driven solutions from conception to deployment.
• Collaborate with cross-functional teams and present AI approaches to stakeholders.
• Perform Exploratory Data Analysis on structured and unstructured data to inform models.

Responsibilities

• Lead the design and development of AI-driven solutions from conception to deployment, ensuring seamless integration with the existing software architecture.
• Collaborate with cross-functional teams including system engineers and software developers, communicating tradeoffs clearly.
• Conduct Exploratory Data Analysis on diverse datasets to inform data models and input formats for AI models.
• Develop, train, and evaluate a variety of machine learning models, and implement validation strategies for accuracy and fairness.
• Stay current with AI advancements and apply new technologies to improve existing systems.

Skills

AI engineering

System integration

Data analysis

Model training

MLOps

Tools

AWS

Job description

Amches, Inc. in Annapolis, MD is seeking an AI Engineer to support TO-005, Report Authoring and Dissemination (RAD). The role involves designing, prototyping, and integrating AI advances into the RAD architecture to augment human decision making and streamline workflows.

You will collaborate with system and software engineers, perform data analysis, train models, and apply MLOps practices on AWS to deploy scalable AI services. This position emphasizes cutting-edge AI adoption and reliability.