AI Engineer

Overview

Location:

Remote (Client is based in Germany)

Language:
German B2/C1

Project Overview:

You’ll join a fast-scaling fintech organisation undergoing a major AI‑led transformation focused on building next‑generation fraud detection, credit risk, real‑time decisioning, and forecasting platforms. The programme is replacing legacy, rule‑based systems with machine‑learning‑driven intelligence to improve transaction monitoring, customer risk profiling, demand and liquidity forecasting, and payment decisioning across millions of daily events.

We’re seeking a Senior AI Engineer to lead the design, development, and production of real‑time ML and forecasting solutions. You’ll work closely with data engineers, platform teams, product owners, and compliance stakeholders to build scalable AI systems embedded directly into live fintech workflows.

li>5+ years’ experience in AI Engineering, Machine Learning Engineering or Applied Data Science (fintech, banking, payments, or financial services strongly preferred).
• Design, build and product ionise fraud detection, anomaly detection, transaction monitoring, credit risk and forecasting models.
• Develop time‑series forecasting models for demand, liquidity, transaction volume and customer behaviour prediction.
• Develop real‑time and batch ML pipelines using Python, PySpark and modern data stacks.
• Build and optimise models using high‑volume, low‑latency data (transactions, behavioural signals, device data).
• Implement MLOps best practices including CI/CD, model versioning, monitoring and retraining pipelines.
• Work with streaming technologies such as Kafka.
• Proficient in Python, SQL, PySpark, CI/CD, and Cloud (GCP/AWS/Azure).
• Excellent communication skills with both technical and business stakeholders.

If this sounds like the right opportunity for you, please apply with an updated CV or contact me on m for a confidential chat.

Mid‑Senior level

Contract

Information Technology

Staffing and Recruiting and Financial Services

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