Executive Full Stack Machine Learning Engineer Jobs in Illinois

Harrison Street Asset Management ("HSAM") is a leading global alternative investment management firm focused on real estate, infrastructure, and credit strategies across North America and Europe. Headquartered in Chicago, Toronto, and London with offices across North America, Europe, Asia and the Middle East, the firm has over $108 billion in assets under management on behalf of institutional investors and registered investment advisors globally.

Founded on a culture of innovation, HSAM is an early mover in alternative real estate and mid-market infrastructure. Today, the firm’s global team, consisting of more than 520 professionals, is committed to creating long-term value through deep sector expertise and forward-thinking strategies.

Under direction of the Head of Data Analytics & Architecture, Global, the successful Full Stack Engineer candidate will be responsible for designing, building, and maintaining complete web applications, managing both front-end user interfaces and back-end server logic, databases, and APIs. They work throughout the entire software development lifecycle, from conception to deployment, ensuring applications are functional, responsive, and secure, while collaborating with teams to deliver seamless user experiences.

The Full Stack Engineer will also be responsible for the collection, storage, processing, and transformation of large volumes of data to make it accessible, reliable, and usable for analysis and decision-making purposes. The ideal candidate is an experienced data pipeline builder, business intelligence report builder and data wrangler who enjoys optimizing data systems and building them from the ground up.

The successful candidate must be self-directed and comfortable supporting the Web Applications, and data needs of multiple teams and systems.

60%     Full Stack Software Development

• Front-End Development: Designing and implementing interactive user interfaces using HTML, CSS, TypeScript, JavaScript, Vite, and frameworks like React, Angular or Vue.
• Back-End Development: Building server-side logic, managing databases, and creating RESTful API’s and integrations using ASP.Net, C#, Python, Java, PHP, or Node.js.
• Integrating and consolidating data from diverse sources, such as databases, APIs, and streaming platforms, ensuring data quality, consistency, and integrity.
• System Architecture: Developing and maintaining the structure of applications, ensuring scalability, security, and performance.
• End-to-end Delivery: Troubleshooting, testing, and debugging applications to optimize speed and functionality. Managing the deployment of web applications to servers and maintaining them post-launch.
• Collaboration: Work closely with data engineers, business liaisons, and line of business stakeholders to translate user requirements into functional features.
• Partners with Technology Infrastructure and support Operations teams to identify, design, and implement internal process improvements: e.g., automating manual processes, optimizing data delivery, and redesigning infrastructure for greater scalability.
• Understands how HSAM’s data platform integrates within the overall technical architecture.

20%     Data Engineering, Machine Learning and Data Agents

• Design and build data pipelines using Microsoft Fabric or similar tools.
• Implement data ingestion pipelines from API’s, databases, and other external sources.
• Build, train and deploy Machine Learning models using Microsoft Fabric Notebooks.
• Develop AI-powered data agents using Microsoft Fabric capabilities.
• Integrate LLM’s, external data, web data with enterprise data platform data.
• Experience in data analysis and interpretation to drive actionable insights.

10%     Data Visualization

• Develop, maintain, and manage advanced reporting, analytics, dashboards, and other BI solutions.
• Develop and Implements design principles in Tableau and/or Power BI.
• Understands the analytic needs of HSAM and translates them into meaningful and actionable data visualizations.
• Perform data analysis and validations.

5%       Cybersecurity Collaboration

• Collaborate with the Cybersecurity team to design, develop, and maintain web applications that adhere to organizational security standards, secure coding practices, and compliance requirements.
• Work jointly with Cybersecurity teams on authentication, authorization, identity management, and secure API integrations.

5%       Miscellaneous

• Stay current on emerging technologies for App development, data engineering, cloud services, security practices, and AI platform capabilities.
• Document system configurations, platform architectures, processes, and operational procedures.
• Participate in training, workshops, and internal knowledge-sharing sessions.
• Perform other duties as assigned to support evolving business and technology needs.