Fraud-Detection ML Engineer: Deploy & Integrate Models

ING Group; Katowice; On-site; PLN 240,000 - 320,000; Full time

Job summary

A leading banking institution in Poland is seeking a Machine Learning Engineer to support the deployment and integration of machine learning models into fraud detection systems. Ideal candidates will have proficiency in Python and SQL, knowledge of ML frameworks, and strong analytical and problem-solving skills. This role involves collaborating with data scientists and engineers in a Scrum environment to enhance security and innovation. The expected salary ranges from 13,000 to 18,000 PLN gross.

Qualifications

• Proficiency in Python and SQL.
• Experience deploying models and integrating them into fraud detection systems.
• Excellent communication and teamwork skills.

Responsibilities

• Deploy machine learning models into fraud detection systems.
• Optimize and maintain analytics code.
• Collaborate with data scientists and engineers.

Skills

Python & SQL

ML frameworks (Scikit-learn, Pandas, NumPy)

Analytical skills

Strong mathematical knowledge

Knowledge of cybercrime threats

Problem-solving skills

Education

Master’s degree in a relevant field

Job description

A leading banking institution in Poland is seeking a Machine Learning Engineer to support the deployment and integration of machine learning models into fraud detection systems. Ideal candidates will have proficiency in Python and SQL, knowledge of ML frameworks, and strong analytical and problem-solving skills. This role involves collaborating with data scientists and engineers in a Scrum environment to enhance security and innovation. The expected salary ranges from 13,000 to 18,000 PLN gross.