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ML Tech Lead | KE Technology

ML Tech Lead

  New York

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Reference #:
Location: New York
Salary: Up to $200k + strong equity!
Sector: Consultancy
Type: Permanent
Posted On: 27/10/2025

A fast-growing FinTech startup powered by AI and Machine Learning is on an exciting growth trajectory and looking for a Tech Lead, Machine Learning Engineer to help shape its next chapter. You’ll partner with one of the founders, whose research has laid a strong foundation, and take the lead in bringing new models to life. This is your chance to own the productionization of ML systems, shape the ML strategy and roadmap.

 

Having exceeded expectations and achieved impressive results in less than two years, the company is now gearing up for Series A funding - with big plans ahead and plenty of opportunity to make an impact.

 

What’s on Offer

  • Up to $200,000
  • Competitive equity
  • Onsite near Soho, NYC
  • Impact, exciting challenges, growth!

 

Role

  • Play a key role in shaping and delivering the applied ML strategy
  • Productionizing models
  • Benchmark & Experiment models
  • Collaboration & Execution - Collaborate with researchers, stakeholders, and client-facing teams to ensure alignment on project requirements.
  • Deploy Scalable AI Systems – Build production-ready ML applications
  • Improving the tech stack and tooling

 

Requirements

  • 5+ years as a ML Engineer & some leadership exposure
  • Education - Bachelor’s or Master’s in a related field
  • Proven experience in developing and deploying ML models in the real world
  • Python
  • ML frameworks (PyTorch, JAX, Tensorflow)
  • Strong understanding of ML fundamentals (regression, classification, clustering, performance metrics) and scikit-learn.
  • Cloud (AWS, Azure or GCP)
  • Collaborative & Impact-Driven – Comfortable working in cross-functional teams, translating research insights into practical AI solutions.

 

Why Join
Be part of a FinTech rocket ship using AI and Machine Learning to redefine a major marketplace. You’ll take the lead in turning cutting-edge research into production-ready models, shaping the roadmap, and building the ML foundations from the ground up. With Series A funding on the horizon, it’s the perfect time to join early, move fast, and have a direct impact on both the product and the company’s future.

 

Interested in hearing more? Get in touch today!