ML Engineer Job ID 212736 Posted 02-May-2025 Service line Corporate Segment Role type Full-time Areas of Interest Digital & Technology/Information Technology Location(s) Gurgaon - Haryana - India, Hyderabad - Telangana - India, Noida - Uttar Pradesh - India **About the Role:** As a CBRE Data Scientist, you will optimize effectiveness and predict outcomes through business, operations, customer, and economic data in order to develop business intelligence. This job is part of the Data Science & Analytics job function. They are responsible for reviewing data that supports improving effectiveness and predicting outcomes to develop business intelligence. **What You’ll Do:** + Work on assigned cross-functional research or analytical projects leveraging advanced computational algorithms. + Apply the tools of modern data science using open-source architecture. Coordinate data aggregation and curate reports using various business intelligence and reporting applications. + Support and maintain applications, networks, and devices. Work with vendors to deliver updates, resolve issues, and manage product lifecycles and upgrades. + Research and design application development, infrastructure, or service standards. + Serve as the internal Digital & Technology liaison to an assigned area of responsibility. + Responsible for developing and executing small to medium project plans. + Exhibit analytical rigor and judgment to present a comprehensive data story to many levels of the organization. + Confirm the quality and integrity of new and existing data sources. Communicate insights to internal partners. + Collaborate with the agile development team to provide recommendations on enhancing existing or new processes and programs. + Develop custom algorithms for solving real estate business problems across a wealth of structured and unstructured data across many data sources. + Apply in-depth knowledge of standard rules and techniques/procedures to do complex assignments and provide innovative solutions. **What You’ll Need:** + Professional Experience with ML Deployments on at least one cloud and ML Ops platform. + Knowledge of Kubernetes or any other orchestrating platforms. + Awareness of LLMs and prompt engineering and optimization. + Basic Knowledge of ML algorithms and Model explainability and observability. CBRE, Inc. is an Equal Opportunity and Affirmative Action Employer (Women/Minorities/Persons with Disabilities/US Veterans)