Good day everyone,
We are expanding our technical teams in to Bulgaria, Sofia, so we are inviting you to come and join us in this exciting journey as a Machine Learning Engineer in our AI team.
About us
Green Street Advisors, founded in 1985, is renowned for its in-depth analysis of the real estate market, particularly REITs and private real estate investments. The firm is known for providing clients with actionable insights and proprietary tools that evaluate pricing, risk, and market trends. Green Street covers sectors such as office, retail, multifamily, and industrial real estate, offering global perspectives with local expertise. Their clients include top institutional investors, and their research is often considered a gold standard in the industry, influencing major real estate transactions and investment strategies worldwide. Our comprehensive platform, proven track record, exclusive news and 35+ years of trusted insight offers a powerful solution to help market participants maximize every opportunity and drive returns.
Description
Interested in working at a fast-paced growing FinTech company? Have a desire to work with the latest technologies including artificial intelligence, machine learning, graph databases and event streaming? If so, we are excited to have you join the Green Street technology team. We are a group of innovative technologists working together to fuel the growth of one of the fastest growing technology companies in the Commercial Real Estate (CRE) Space.
We are looking to hire a talented Machine Learning Engineer who is interested in joining our new AI Technology Team. You will work on an Agile team dedicated to building and continuously improving AI-enabled processes to solve a wide range of business challenges.
What’s it like working with our team of dedicated technologists? We are passionate about great Agile teams, engineering excellence through paired programming, automated testing, close collaboration with each other, and a highly transparent tech organization. You’ll have multiple opportunities to work on interesting projects and engage with some of the brightest engineering minds anywhere.
We love great engineers and are excited to get to know you better. Please share your resume today!
Responsibilities
- Collaborate with the technology team and stakeholders to develop new AI-enabled processes
- Continuously work with Subject Matter Experts to refine processes to provide consistent results
- Understand Green Street’s business domains and help identify areas where AI can enhance efficiency or provide new capabilities
- Work within and help expand an innovative, established customer-facing AI platform
- Work within and create event processing consumers and data preparation processes using Python
- Be an active participant in architectural discussions
- Drive a strong engineering culture of innovation and continuous improvement.
Requirements
- 5+ years’ experience in a software engineering role including 1-3 years of experience in an AI-focused role, having built end-to-end AI-enabled processes
- Intermediate knowledge of Python
- Experience with Large Language Model (LLM) advanced prompting techniques (chain-of-thought, self-calibration, prompt chaining, etc.) as well as advanced features such as Function (Tool) Calling, Retrieval Augmented Generation, and Agent Orchestration
- Generate, curate, and refine training data for fine-tuning and improving LLM models
- Be able to work with other teams on requirements generation for AI-enabled processes
- Experience creating high-performance, scalable, robust and resilient data processes and APIs
- Bachelor’s degree in computer science / engineering or equivalent experience through coding bootcamp
- Strong SQL Skills (MySQL, PostgreSQL or similar)
- Enjoy problem solving, have excellent communication skills and demonstrate impeccable attention to detail
- Proficiency with Git
Nice-to-Haves
- Experience in Natural Language Processing techniques
- Neo4J Graph Database experience
- Vector Databases experience (such as QDrant or similar)
- Familiarity with event streaming architecture using Apache Kafka or similar
- Experience with AI-assisted search, anomaly detection, and/or recommendation engines
The current offer
- Hybrid working model – 2 days per week – home office, 3 days per week (Monday – Wednesday) in our office at Polygraphia Office Center, Sofia, Bulgaria
- Working hours – 11 am – 8 pm EEST (3 days/week for the first 3-6 months) – you need to work with our US based tech team. 9 am – 6 pm (2 days/week)
- Social benefits – additional health & live insurance, food voucher and Multisport card
Green Street provides preeminent and actionable commercial real estate research, news, data, analytics, and advisory services in the U.S. and Europe. For more than 35 years, Green Street has delivered unparalleled intelligence and trusted data on the public and private real estate markets, helping investors, banks, lenders, and other industry participants optimize investment and strategic decisions. The firm delivers exclusive market information, conclusion-driven insights, and predictive analytics through a SaaS platform. The company is headquartered in Newport Beach with offices in New Jersey, New York and London. To learn more, please visit www.greenstreet.com.
The success of Green Street is directly attributable to the strength of our people. We attract high-quality applicants due to our reputation for excellence and our commitment to train and retain talent. Our collaborative work environment provides team members with opportunities to develop professionally and play a central role from day one. At Green Street, we are all about providing unique insights. A diverse and inclusive work environment where top talent can thrive, think freely and offer different perspectives makes our insights even stronger. We’re building a company culture where differences in gender, race, age, religion, ethnicity, identity, physical ability and perspectives are celebrated and valued.
Green Street is an Equal Opportunity Employer
Green Street does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.
Thank you
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