Machine Learning Engineer

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

ING Hubs Poland is hiring!

The expected salary for this position: 13 000 - 18 000 PLN gross

The financial ranges specified in the announcement are adjusted and may differ from the range specified in the remuneration regulations

We are looking for you if you have:

• Proficiency in Python & SQL
• Knowledge of ML frameworks (Scikit-learn, Pandas, NumPy)
• Great analytical skills and ability to work with big data
• Strong mathematical knowledge and logical thinking
• Knowledge of cybercrime threats (phishing, malware, sociotechnical attacks, skimming, etc.)
• Experience deploying models and integrating them into rule-based fraud detection and alert handling systems
• Excellent problem-solving, communication, and teamwork skills

You'll get extra points for:

• Experience optimizing code/compute and handling large datasets for fraud detection
• Master’s degree in a relevant field
• Certifications or experience in banking fraud or cyber security

Your responsibilities:

• Deploy and integrate machine learning models into fraud detection engines and alert handling systems
• Optimize, test, and maintain analytics code
• Collaborate with data scientists, engineers and rulewriters to improve efficiency of detection and alert handling.
• Contribute to a Scrum-based, international team focused on innovation and security

Information about the squad:

Machine Learning Engineer – deployment & model integration

Join our innovative team to support the deployment and seamless integration of machine learning models into fraud detection and alert handling systems for the banking sector. We seek a Machine Learning Engineer with strong data science skills, a deep understanding of fraud and cyber security, and a passion for operationalizing models.

If you’re passionate about operationalizing data science for fraud prevention and cyber security, we’d love to hear from you!

The role naming convention in the global ING job architecture will be “Engineer IV"

The financial ranges specified in the announcement are adjusted and may differ from the range specified in the remuneration regulations.