Machine Learning Engineer
4 tygodni temu
We are seeking a talented Machine Learning Engineer to join our team at ING, a dynamic and rapidly growing tech company. The successful candidate will be responsible for developing and implementing fraud detection models within the banking sector.
Key Responsibilities- Develop and optimize machine learning models for fraud detection
- Collaborate with data scientists in the squad to design and implement models
- Work with shared model development codebase and assist in model development and deployment
- Code/compute optimizations and unit testing
- Scheduling and distributing code on our data analytics platform
- Proficiency in data and software engineering with a focus on distributed computing (Spark 3+)
- Experience with Azure DevOps, Airflow, mlFlow, and containerization
- Familiarity with 'Clean Coding' paradigms and programming experience in Python
- Knowledge of statistical analysis, data mining, and predictive algorithms
- Excellent problem-solving skills, attention to detail, and ability to work independently and collaboratively
- Hands-on experience with code/compute optimization and tuning testing
- Proven capability in handling large data sets for developing fraud detection models
- Master's degree in computer science, statistics, data science, or a related field
- Experience with other machine learning frameworks and libraries
- Certifications in relevant fields
As a Machine Learning Engineer at ING, you will have the opportunity to work on a global scale, implementing and optimizing machine learning models for customers in diverse countries. We offer a dynamic and collaborative environment, with opportunities for continuous professional development and the chance to expand your skills and pursue your interests.
We operate within a Scrum framework and are committed to delivering high-quality solutions. If you are a talented Machine Learning Engineer looking for a challenging and rewarding role, we encourage you to apply.
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