Fraud-Fighting ML Engineer: Deploy & Integrate Models

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

Job summary

A leading banking firm in Katowice seeks a Machine Learning Engineer to deploy and integrate ML models into fraud detection systems. The ideal candidate will have expertise in Python, SQL, and a background in cybercrime threats. Responsibilities include collaborating with teams to optimize models, testing analytics code, and contributing to a Scrum-based environment. A master’s degree in a relevant field is preferred. The role offers a salary range of 13,000 to 18,000 PLN gross, with opportunities for professional development.

Qualifications

• Proficient in Python and SQL, necessary for data manipulation and analysis.
• Experienced in machine learning frameworks like Scikit-learn, Pandas, and NumPy.
• Strong analytical skills to work with large datasets effectively.
• Knowledge of cybercrime threats related to banking is essential.

Responsibilities

• Deploy and integrate machine learning models into fraud detection systems.
• Optimize and maintain analytics code for better performance.
• Collaborate with cross-functional teams to enhance detection capabilities.
• Contribute to an innovative team in a Scrum-based environment.

Skills

Proficiency in Python

Proficiency in SQL

Knowledge of ML frameworks

Analytical skills

Understanding of cybercrime threats

Excellent problem-solving skills

Communication skills

Teamwork skills

Education

Master’s degree in a relevant field

Job description

A leading banking firm in Katowice seeks a Machine Learning Engineer to deploy and integrate ML models into fraud detection systems. The ideal candidate will have expertise in Python, SQL, and a background in cybercrime threats. Responsibilities include collaborating with teams to optimize models, testing analytics code, and contributing to a Scrum-based environment. A master’s degree in a relevant field is preferred. The role offers a salary range of 13,000 to 18,000 PLN gross, with opportunities for professional development.