Design, develop, and maintain production-grade data and machine learning systems that operate on design-related datasets to support analytics, prediction, and computational optimization across enterprise platforms. Integrate machine learning and data systems with internal platforms, APIs, and cloud infrastructure to enable scalable, secure, and maintainable AI-enabled services, collaborate with IT, research, and leadership teams to define technical requirements, data strategy, and system architecture for enterprise analytics and machine learning initiatives. Perform advanced statistical analysis and computational modeling.
Position is 100% remote.
Education and Experience Requirements
Master’s degree in Architecture or a related field; foreign equivalents accepted.
2 years of experience in software consulting or software engineering.
Special Skills Requirements
Position requires skills with the following which may be gained through experience or education in degree granting programs (including projects, papers, internships, practical training experiences or similar): - Development of control system enhancements that incorporate IoT data collection, pipeline development, data management and dashboard development. - Design and development of software services and libraries, including optimizing and testing search services in collaboration with AI and ML teams. - Implementation of CI/CD pipelines. - Development of conversational interface with LLMs utilizing RAG, LangChain and Python. - Research and prototyping of containerized AI service architectures using Docker, Azure Functions, Azure AI Foundry, and GitHub Actions CI/CD workflows to evaluate scalability and deployment patterns for machine learning workloads. - Exploration and prototyping of AI-assisted design workflows integrating LLMs with computational design tools to evaluate practical AI applications in architectural project coordination and decision-making.
Please copy and paste your resume in the email body (do not send attachments, we cannot open them) and email it to candidates at placementservicesusa.com with reference #0020-0006 in the subject line.
Thank you.