Senior ML Engineer - Real-Time Fraud Detection

Modulai; Göteborgs kommun; On-site; SEK 600,000 - 800,000; Full time

Job summary

A tech firm specializing in machine learning is seeking a Senior Machine Learning Engineer to work on a cutting-edge fraud detection platform. The role emphasizes collaboration with engineers, data scientists, and risk teams to develop robust ML models. Ideal candidates will possess strong Python skills, a solid understanding of machine learning fundamentals, and experience with MLOps tools. This full-time position is a unique opportunity to impact the fintech sector through advanced data-driven solutions.

Qualifications

• Strong fundamentals in machine learning and statistics.
• Hands-on experience with ML pipelines and model monitoring.
• Ability to translate technical concepts for various stakeholders.

Responsibilities

• Design and deploy ML models for transaction-level fraud detection.
• Analyze large datasets to identify patterns and data quality issues.
• Collaborate with cross-functional teams to ensure model effectiveness.

Skills

Production-grade Python

XGBoost/LightGBM

Scikit-learn

Experience building ML APIs

MLOps

Education

MSc or Ph.D. in a quantitative field

Tools

FastAPI

Docker

PySpark

Job description

A tech firm specializing in machine learning is seeking a Senior Machine Learning Engineer to work on a cutting-edge fraud detection platform. The role emphasizes collaboration with engineers, data scientists, and risk teams to develop robust ML models. Ideal candidates will possess strong Python skills, a solid understanding of machine learning fundamentals, and experience with MLOps tools. This full-time position is a unique opportunity to impact the fintech sector through advanced data-driven solutions.