Applied AI Engineer
AI summary of the role
This role designs, prototypes, and operationalizes AI and analytics solutions that automate work and improve performance across Cushman & Wakefield's global commercial real estate operations.
What you’ll do
- Design, build, and iterate on applied AI and ML solutions including forecasting, classification, anomaly detection, NLP, and generative AI/LLM-based workflows
- Independently build end-to-end POCs to validate AI ideas quickly, including data wrangling, modeling, and lightweight infrastructure
- Partner with data engineering to harden, scale, and operationalize proven solutions into production systems
- Define success metrics, design evaluations, and build feedback loops to detect drift and measure business impact
What you’ll bring
- Bachelor's degree in Analytics, Data Science, Computer Science, Engineering, or related field
- 4–7 years of experience in analytics, data science, or AI/ML engineering with at least 2 years building and deploying ML or AI solutions
- Strong proficiency in Python and SQL, including writing maintainable, tested code
- Hands-on experience building applied AI or ML solutions such as predictive models, NLP, or LLM-based applications
Technologies
Python · SQL · Databricks · LLM · NLP · MLflow · OpenAI · Anthropic · RAG · CI/CD
About Cushman & Wakefield
Global commercial real estate services firm providing leasing, capital markets, valuation, and outsourced property/facilities management to occupiers and investors across 60+ countries.
Public · 5000+ people
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