V
Senior AI Engineer
Virtual Vocations Inc
2 hours ago
Full-time
On-site
East New York, New York, United States
To address advanced eDiscovery AI challenges, the full-time Senior AI Engineer will design and develop innovative software solutions that integrate Predictive and Generative AI capabilities into eDiscovery workflows while working remotely.
Key responsibilities
Design and develop software applications and services delivering eDiscovery AI capabilities, including TAR/CAL workflow engines and document scoring orchestration Architect and implement cloud services on Microsoft Azure, integrating model serving endpoints and eDiscovery platform connectors Collaborate with data scientists to translate ML model outputs into reliable software services that meet legal and performance standards
Required qualifications
Strong proficiency in C# with at least 7 years of professional development experience Minimum of 5 years of experience building cloud-connected software on Azure, including REST APIs and microservices Experience integrating with AI/ML services, such as Azure OpenAI or Hugging Face inference endpoints Minimum of 5 years in database development, including query optimization for large datasets Proficiency with Git, Azure DevOps, and CI/CD pipeline automation
Design and develop software applications and services delivering eDiscovery AI capabilities, including TAR/CAL workflow engines and document scoring orchestration Architect and implement cloud services on Microsoft Azure, integrating model serving endpoints and eDiscovery platform connectors Collaborate with data scientists to translate ML model outputs into reliable software services that meet legal and performance standards
Required qualifications
Strong proficiency in C# with at least 7 years of professional development experience Minimum of 5 years of experience building cloud-connected software on Azure, including REST APIs and microservices Experience integrating with AI/ML services, such as Azure OpenAI or Hugging Face inference endpoints Minimum of 5 years in database development, including query optimization for large datasets Proficiency with Git, Azure DevOps, and CI/CD pipeline automation