Our team applies advanced analytics—including machine learning, quantitative algorithms, and data mining techniques—to deliver business insights and solve complex problems across the organization. We are actively involved throughout the entire lifecycle, from initial design to final implementation. Our stakeholders span all areas of the bank, including business, risk, retail, and corporate banking.The Role:As a Machine Learning Engineer, you will be responsible for building and maintaining a robust, production codebase that supports the creation and implementation of ML models. You will train, deploy, and monitor machine learning models tailored to various business needs. Additionally, you will develop tools to enhance data accessibility and support a more data-driven organization.Required Qualifications:3+ years of professional experience with Python in production environmentsStrong proficiency with machine learning libraries and frameworks (e.g., scikit-learn, pandas, numpy)Experience with PySpark for large-scale data processingSolid understanding of Object-Oriented Programming principles and Git workflowsProven experience deploying and maintaining ML models in productionStrong data handling and feature engineering skillsBachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related fieldPreferred Qualifications:Active portfolio of public projects on GitHub/Azure or similar platformsExperience with CI/CD pipelines and DevOps practices (Docker, Kubernetes, MLOps tools)Experience in the financial services or banking sectorKnowledge of model risk management and regulatory requirementsDuration:PermanentLocation:About INGING offers many opportunities to build a diverse and rewarding career. You will be joining an international innovative digital bank, the first in Italy to adopt a fully flexible smart working model, and you will be working in a stimulating environment where you can grow both as an individual and as a professional.Our purpose - empowering people to stay a step ahead in life and in business - represents our belief in people’s potential. We don’t judge, coach or to tell people how to live their lives. We empower people and businesses to realize their own vision for a better future.#doyourthing is our brand direction with us each and every day. It is how we articulate our purpose and our promise to make banking frictionless to the world. ‘do your thing’ is about people being free to live the life they want to live, knowing that they will make their world a little better for it.Do you think you are "a step ahead"? Apply now!The benefits of joining INGSuper flexible smart workingCompetitive base salaries and performance based bonusesDiverse cultures & Innovative mindsetsInternational EnvironmentCommitment to sustainabilityLots of training development opportunities to help you growLots of moments dedicated to physical and mental well-beingA special day off when it is your birthday: we call it #doyourbirthday!And of course we can’t forget: free water & coffee at the office!Our CommitmentDiversity is a fundamental element of our corporate culture, and we are fully committed to creating a safe and inclusive environment, based on mutual respect and the value of diversity, offering equal job opportunities to all qualified candidates.Job Application Safety ReminderWe’re seeing an increase in fraudulent job offers. To protect yourself, please follow these key guidelines when applying for roles at ING:Apply only via official ING platforms: ING usesWorkdayas its internal recruitment system. Applications should be submitted only via our official career site.Check the sender’s email carefully: legitimate communication will always come from: @ing.com and/or @myworkday.comNo payments or banking details will ever be requested.If someone asks for this information, it’s a scam.If you suspect suspicious activity,report it immediately. Your safety matters to us.
#J-18808-Ljbffr