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Descrizione del lavoro
A leading global real estate services firm is seeking a skilled professional to design and implement AI and machine learning solutions. You will analyze financial documents using large language models and collaborate with teams to enhance real estate technology. Ideal candidates will have strong Python skills, experience in generative AI, and a degree in a quantitative field.
Competenze
- 2-4 years' experience in applied machine learning and generative AI.
- Strong Python programming skills.
- Proven ability to design and deploy production-ready solutions.
Mansioni
- Design, develop, and implement generative AI and machine learning solutions.
- Apply large language models to financial documents and datasets.
- Collaborate with product teams to deliver aligned solutions.
Conoscenze
Formazione
Strumenti
You'll be joining a global leader in commercial real estate services and investment management. Known for combining deep market expertise with innovative technology, the business is committed to modernising how investment decisions are made. You'll be part of a collaborative, forward-thinking environment where your contributions will directly shape the future of real estate technology.
- Design, develop, and implement generative AI and machine learning solutions for commercial real estate.
- Apply large language models to analyse financial documents and market datasets.
- Engineer and optimise prompts, as well as evaluate LLM outputs for accuracy and relevance.
- Build production-ready Python code and integrate models into user-facing applications.
- Monitor and refine model performance post-deployment, making improvements based on feedback.
- Collaborate with product and engineering teams to deliver solutions aligned with business goals.
- 2-4 years' experience in applied machine learning and generative AI, including work with large language models.
- Strong Python programming skills with experience in core ML libraries (numpy, pandas, scikit-learn, boosting methods).
- Proven ability to design, test, and deploy production-ready machine learning solutions.
- Hands-on experience in data processing and feature engineering for complex datasets.
- A degree in Computer Science, Statistics, Machine Learning, Engineering, Physics, or a related quantitative field.
* Il benchmark retributivo si basa sugli obiettivi retributivi dei leader del mercato nei rispettivi settori. È pensato per orientare gli utenti Premium nella valutazione delle posizioni aperte e aiutarli a negoziare la propria retribuzione. Tale benchmark non è fornito direttamente dall'azienda, quindi la retribuzione effettiva potrà risultare anche notevolmente superiore o inferiore.