Machine Learning Engineer

🚀 Hiring:
Machine Learning Engineer | Fin Tech Startup | Hybrid | Dubai

I’m currently partnering with a well-funded Fin Tech startup in Dubai that’s building next-generation intelligent financial products across payments, risk, and trading analytics.

They’re looking for a Machine Learning Engineer who enjoys owning problems end-to-end — not just modelling, but deploying real ML systems that directly impact revenue and customer experience.

You’ll sit at the intersection of ML, engineering, and product
, working closely with data, backend, and platform teams to:

• Design & deploy production ML models (not just notebooks)
• Build scalable ML pipelines and feature stores
• Work on fraud detection, risk scoring, forecasting, and personalization problems
• Optimize model performance in real-time environments

• 4–7+ years experience in ML Engineering / Applied ML / Data Science (production-focused)
• Strong Python skills + ML stack (PyTorch / Tensor Flow / Scikit-learn)
• Experience deploying models (Docker, APIs, cloud infra – AWS/GCP/Azure)
• Solid backend or software engineering fundamentals
• Experience in Fin Tech, payments, trading, or risk is a strong plus
• Comfortable in fast-paced startup environments

• Hybrid working model
• Small, high-calibre team
• Direct impact on product and business outcomes