Senior ML Engineer

🔥 0 minutes ago

🇵🇱 Poland – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 11%

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 payment-routing and decisioning system with direct revenue impact • Conduct hands-on experimentation from ideation through A/B testing to production • Integrate cutting-edge AI technologies • Partner with Product, Engineering, and Data Platform teams to solve modeling problems • Build orchestrated training and analytics pipelines • Communicate technical results to engineers and cross-functional stakeholders • Help establish the ML/AI function, team, and standards from the ground up • Work with 20M+ orders and 100M+ transactions monthly, plus 100+ payment methods and providers

🎯 Requirements

• 4–5+ years in ML or Data Science • Hands-on production experience with classical predictive models, such as credit scoring, fraud, risk, recommendations, or pricing • Track record of shipping ML models end-to-end, from idea to production, in a real product environment • Ability to demonstrate business impact in conversion, approval rate, losses, or revenue • Strong data science fundamentals • Hands-on experience with A/B testing and experimentation design • Feature engineering on high-cardinality transactional data • Ability to work independently in a greenfield space and own delivery • Strong communication skills and comfort working with a wide range of stakeholders • Experience in fintech, payments, fraud, or risk is nice to have • Experience with real-time or low-latency ML serving is nice to have • A master's or PhD in a quantitative discipline is nice to have

🏖️ Benefits

• 30+ days off • Unlimited sick leave • Free office meals • Health coverage • Apple gear • Courses • Conferences • Sports and wellness benefits • Employee referral bonus