Lead AI Developer ( only w2)

W2 only

Experience with ReactJS            Required             5             Years
Experience with Agentic AI Skills (AI Models, ML, LLM, Deep Learning)               Required             2             Years
Experience building high performance solutions to leverage large data sets    Required             5             Years
Experience with HTML5/CSS3 Required             5             Years
Experience integrating with deck.gl      Required             1             Years
Experience with building BI widgets and GIS enabled visualizations (Azure Maps)        Required             3             Years
 

Qualifications: 
Ability to Integrate ReactJS with deck.gl
Building GIS enabled visualizations using Azure Maps?
Expertise in Azure App Services, Azure ML Studio WS, Power BI, Azure Function Apps, Azure Container Apps, Azure API Management
Experience implementing Azure Machine Learning, Azure Computer Vision, Azure Video Indexer, Azure OpenAI models, Azure Media Services, Azure AI Search?
Ability to work with large data sets to improve performance efficiency.
Develop visual representations of agent states, decisions, and actions to help users comprehend and trust agentic technology.
Design forms and tools for collecting data from experiment participants, ensuring data integrity and ease of use.
Develop interfaces that facilitate interaction between humans and automated systems, allowing for human oversight and intervention in human-in-the-loop processes.
Knowledge of REACT tools including React.js, Axios, React Router, Redux, etc.
Strong JavaScript, HTML5, and CSS3 skills
Familiarity with RESTful APIs and integration
Knowledge of modern authorization mechanisms, such as JSON Web Tokens
Experience with version control systems (e.g., Git)
Understanding of front-end build tools and pipelines
Strong leadership, excellent problem-solving and communication skills
Experience with Department of Transportation Data Domains developing an AI Composite Agentic Solution designed to identify and analyze?data models, connect & correlate?information to validate?hypotheses, forecast, predict and recommend?potential strategies and conduct What-if analysis.  
A degree in computer science, software engineering, or a related field