Senior Machine Learning Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇺🇦 Ukraine – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Solidgate

WebsiteLinkedInAll Job Openings

201 - 500 employees

💳 Fintech

☁️ SaaS

🔌 API

Fintech • SaaS • API

Solidgate is a fintech SaaS platform that provides payment orchestration and global payment infrastructure for merchants and businesses. It offers hosted payment pages and APIs, intelligent routing, connectors to dozens of payment providers and alternative payment methods, acquiring, billing and subscription engines, antifraud and chargeback representment tools, and treasury/business accounts to move and receive funds. Solidgate focuses on helping businesses launch and scale global commerce with enterprise-grade security, multi-region availability, and developer-friendly integrations.

📋 Description

• Design and build core ML models and pipelines for a greenfield ML/AI direction • Build a real-time ML decisioning system that determines which acquiring bank routes each transaction • Develop a recommendation engine and other ML-driven features to improve merchant conversion and revenue • Conduct hands-on experimentation from ideation through A/B testing and production • Integrate cutting-edge AI technologies • Partner with Product, Engineering, and the Data Platform team to solve modeling problems • Build orchestrated training and analytics pipelines • Communicate technical results clearly to engineers and cross-functional stakeholders • Work with data from 20M+ orders and 100M+ transactions per month

🎯 Requirements

• 4–5+ years in machine learning • Hands-on production experience • Track record of shipping ML models end-to-end, from idea to production, in a real product environment • Strong data science fundamentals • Hands-on experience designing and running experiments • A/B testing and experimentation design experience • Feature engineering on high-cardinality transactional data • Proactive and self-driven • Comfortable working closely with a wide range of stakeholders • A degree in a quantitative discipline is a plus

🏖️ Benefits

• 30+ days off • Unlimited sick leave • Free office meals • Health coverage • Apple gear • Courses • Conferences • Sports benefits • Wellness benefits • Referral bonus if a referred candidate is hired