Senior Machine Learning Product Engineer, Risk and Fraud Management, Payments, Growth Alliance (all genders)

The role

You will own production machine learning systems to protect against checkout fraud and recover failed recurring payments. You will architect real-time ML systems and build data pipelines on Databricks to support global markets.

What you will do

• Architect and operate real-time and streaming production ML systems end-to-end
• Build and optimize data pipelines and inference workflows using PySpark on Databricks, Kafka, and orchestrators
• Drive platform migrations for feature stores and model serving to Databricks
• Lead technical delivery of the Smart Payment Retry engine
• Establish modern MLOps practices including CI/CD automation and infrastructure as code
• Implement automated monitoring and experimentation plumbing
• Collaborate with data scientists to pressure-test models for production readiness
• Mentor teammates on system design and AI-augmented engineering workflows
• Operate, instrument, monitor, and improve built systems in production

Required qualifications

• Hands-on experience working with AI tooling (e.g., Claude Code, Cursor, Copilot)
• 5+ years of experience taking machine learning systems from prototype into high-traffic, low-latency cloud environments
• Deep command of Python, SQL, and PySpark on Databricks
• Hands-on experience with containerized and serverless model deployment
• Familiarity with cloud environments (AWS), containerization, and modern orchestration tools (Databricks Model Serving, Airflow, Kafka, or Terraform)
• Proven capability building automated CI/CD pipelines
• Literacy in model evaluation (precision/recall balance, drift, A/B testing)
• Experience operating models or data products in production
• Statistical literacy to design sound experiments and interpret results

Benefits

• Global collaboration at scale with international teams
• Technical, Product, and Design leadership opportunities
• End-to-end development and delivery ownership
• Access to workspace at Warsaw centre (Prosta 20)
• Modern facilities including showers, breakout zones, outdoor space, and cycle parking
• Refreshments including coffee, soft drinks, and fruit

About the company

HelloTech is HelloFresh’s global technology backbone with more than 1000 people. It creates the platforms that bring tailored food solutions to millions of customers every month.