TL;DR

Senior Machine Learning Engineer (Fintech): Building and integrating ML solutions for evaluating transactions and customer behavior in real-time and offline environments with an accent on preventing fraudulent activities across multiple crypto products. Focus on experimenting with various modeling techniques and maintaining the codebase.

Location: Lisbon / London / Barcelona / Madrid / Cape Town / Krakow / Romania - Remote

Company

%hirify_global% is building the infrastructure that powers the new financial system, making it easy for anyone to buy, sell, and trade crypto.

What you will do

Build and integrate ML solutions for evaluating transactions and customers’ behavior in real-time and offline environments
Support multiple Crypto products with tailored ML solutions to prevent fraudulent activities
Experiment with various modeling techniques on our customer data and see your solution through to production
Analyze large datasets using SQL, Python and Apache Beam to surface features
Help build AI-powered automation tools or pipelines and propose improvements across the company
Own the full lifecycle of ML solutions, maintaining and improving the codebase

Requirements

Experienced in Machine Learning at leading Fintech startups or fast-growing tech companies
Confident in developing, releasing, and maintaining ML models in a fast-paced, iterative environment
Experienced with some of our tech stack, or are confident you can cross train and up skill quickly
Real-world experience working with time series data for classification, counterfactual reasoning, and adversarial models
Understand data structures, pipelines, and big data processing for real-time consumption
Experienced with Cloud Native applications such as Google Cloud or similar (e.g. AWS, Azure)

Culture & Benefits

Hybrid working schedule: Work fully remotely or your nearest Moonbase, the choice is yours
Unlimited holidays: We give you the autonomy to choose when to work (and when to switch off)
Competitive salary package & Equity package
Annual training budget to support your training journey
Home office setup allowance
Regular remote company offsites