Machine Learning Engineer (Technical Leader)

the largest tech-enhanced financial asset management firm in the world. With $2.5B AUM across funds focused on North America, Asia-Pacific, Europe, and the Middle East, operates globally with offices in Tel-Aviv, Abu Dhabi, New York, London, Singapore, Tokyo, Mumbai, Boston & San Francisco. The firms patented machine learning and decision science technology enables it to deploy more capital through more deals faster than any firm in capital markets history, establishing it as the fastest-growing provider of non-dilutive and equity financing to mid-market and late-stage companies. backed by leading global financial institutions including Japans largest bank, MUFG, Spark Capital, and Apollo Asset Management.

We are looking for a Machine Learning Engineer to join our team as a Technical Lead. The Technical Lead will be integral to the data science feature development process, working with data engineering. You will design machine learning pipelines, apply algorithms to generate predictions, tackle data set challenges, and develop the first-ever, real-time corporate credit score platform. This isn't just another job; you'll be a key part of an exciting, experienced team in a fast-paced environment. This position does not involve managerial duties but rather entails leading technically.

You will:
Architect and engineer prompts for various AI models, including LLMs, to generate accurate and actionable outputs for security automation tasks.
Build forecasting/prediction models from scratch (POC) to production-ready
Work closely in aligning the product, research, and development teams in crafting the product, increasing product effectiveness
Collaborative mindset to improve the AI team, communicate with stakeholders, and shape research vision.
Take a critical role in the research process for finding the best market solutions for defined business problems
Guide the R&D team and product teams