Machine Learning Performance Engineer

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Talent Acquisition Partner - Technology at SitusAMC
Whether youre a real estate veteran, a passionate technologist, or looking to get your start, join us as we work together to realize opportunities for everyone, we proudly serve.
At SitusAMC, we are looking to match your unique experience with one of our amazing careers, so that we can help you realize your potential and career growth within the Real Estate Industry. If you are someone who can be yourself, advocate for others, stay nimble, dream big, own every outcome, and think global but act local come join our team!
The Machine Learning Engineer will be involved in the design, development, implementation, and ongoing delivery of generative AI and other machine learning solutions to enhance decision-making in commercial real estate investments. The role includes formulating technical requirements based on business needs, experimenting with models, and implementing robust, production-ready solutions that transform data into actionable insights. ***This is Hybrid opening that only requires employees to be in office 1-2 times per month .
Provide innovative solutions for problems in commercial real estate using generative AI and other machine learning algorithms
Use large language models (LLMs) to analyze various commercial real estate data sets, including large sets of financial documents and commercial real estate market data
Engineer and tune LLM prompts, and perform automatic and manual evaluations of LLM outputs
Apply machine learning algorithms to find patterns in financial data sets, especially time series, related to commercial real estate
Translate business problems and requirements into tasks that can be solved with generative AI, machine learning, or other algorithmic solutions
Process structured and unstructured data for generative AI use cases
Following experimentation and model selection and validation, implement the solution using production-ready Python code
Contribute to the full software development lifecycle, including requirements gathering, design, development, testing, deployment, and maintenance of machine learning solutions
Monitor model performance post-deployment and iterate based on feedback
Present information using data visualization techniques
A masters degree (or equivalent) in a numerate discipline such as Statistics, Machine Learning, Computer Science, Engineering, or Physics. Mid-level professional with 2-4 years of ML/AI experience, typically at an Analyst level role or external equivalent
A scientific approach to solving problems, an analytical mind, and experience in applied machine learning and generative AI
Experience in applying LLMs to analyze text documents, prompt engineering, and manual and automatic evaluation of LLM outputs
Good foundational knowledge of standard machine learning algorithms and statistical methods
Proficient in python and its standard data science and ML libraries (e.g., numpy, pandas, scikit-learn, boosting and data visualization libraries)
Practical experience in data processing and feature engineering for machine learning applications
Ability to write robust production-ready Python code
Experience in commercial real estate is a plus
Hybrid
Specific compensation is determined through interviews and a review of relevant education, experience, training, skills, geographic location and alignment with market data. Additionally, certain positions may be eligible to receive a discretionary bonus as determined by bonus program guidelines, position eligibility and SitusAMC Senior Management approval.
Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law.
Employment type Full-time

Job function Engineering and Information Technology

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Location:
Highgate, Greater London
Job Type:
FullTime

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