Machine Learning Engineer

Are you an enthusiastic machine learning engineer who inspires others to create innovative solutions? Then we need your help in making ABN AMRO a personal bank in a digital age. Our employees get the freedom to grow and experiment. You support and guide them, so they can become the technical experts that contribute to a future-proof bank. We work hybrid, which means the balance between working from the office and remotely is determined based on agreements within the team to ensure comfort and effectiveness. All-in-all, working at ABN AMRO means that you contribute to projects that matter and impact millions of customers. Are you up for the challenge?

We vragen

• 5+ jaar
• Passie voor je vakgebied
• Samenwerkingsgerichtheid

Your job

In your role as a Machine Learning Engineer, you will:

• Expand the scope of Advanced Analytics and AI, enabling cases that leverage the latest emerging technologies, fostering an innovative environment.
• Work closely with the Data Scientists of the Advanced Analytics & AI Center of Expertise to design and develop Machine Learning and Generative AI models, also collaborating with data engineers and data analysts.
• Deploy and optimize the AI models that leverage large-scale data to deliver predictive and analytical capabilities for the AST&I domains, delivering scalable and efficient solutions.
• Build and maintain end-to-end ML pipelines, ensuring model reproducibility, scalability, and monitoring in alignment with best practices for MLOps (feature engineering, model training, evaluation, and deployment in production environments).
• Engage in complex long-term projects, with focus on continuous delivery in small increments, with possibility of effectively leading and planning the projects to ensure successful outcomes.
• Engage and guide non-technical stakeholders and team members on Advanced Analytics and GenAI cases.
• Collaborate with multidisciplinary teams and manage different stakeholders.
• You will be part of diverse Agile/Scrum DevOps team and have end-to-end responsibility for developing, managing, and maintaining functionalities in the AST&I area, which are prioritized by the Product Owner.
• Stay curious and up to date with trends of technologies, advanced analytics, genAI and cloud platforms (Databricks).

Working environment

We are a Domain Data Store development team (Microsoft Azure data platform) that support the Analytics Centres of Expertise (CoEs) and create business value from data by enabling data analytics, data science and reporting within the Data Domains of Accounts, Savings & Transactions, and Insurances (AST&I). The AST&I Data Domains are within the Transaction Banking product unit, which covers a vast portfolio of products: accounts, payment cards, packages, savings, insurances, open banking APIs, trade finance, digital products like Apple Pay/ Google Pay etc. and associated Sales, business & risk management processes. We contribute significantly to the revenue of the bank by strengthening data driven decision making, also cater to different regulatory and operational topics, and we want to continue and improve on this path to Product Excellence. Our stakeholders apply business intelligence & (advanced) analytics to explore, research and gather valuable insights; and we provide the data foundation and platform to perform these activities. Our team has T-shaped profiles and next to machine learning engineering, you can play different roles like: Subject Matter Experts, use case lead, analytics translator. The domain data store team consists of 15+ members (Product Owner, Data Engineers & Data modelers) and are based across the Netherlands and India. The team atmosphere is dynamic, open and informal. We follow agile principles and work on cross grid and cross functional initiatives while collaborating with business experts, business developers, product owners, seniors and leaders – hence providing a golden opportunity for networking and serving as a knowledge haven. We have developed a culture where entrepreneurial spirit, empathy, element of fun and celebrating successes is truly appreciated. We do this by respecting and living bank’s values: Care, Collaboration and Courage!

Your profile

You're living in the Netherlands. If you live abroad and still apply, we will not consider it.

• 5+ years of experience in machine learning engineering or applied ML with a focus on Azure cloud technologies.
• Proficient in Python (preferably OOP), PySpark and strong experience with ML frameworks such as Scikit-learn, TensorFlow, PyTorch.
• Hands-on experience with Databricks platform tools.
• Solid understanding of data preprocessing, feature engineering, and model optimization.
• Experience with ML pipeline orchestration using tools like MLflow, Azure Machine Learning.
• Excellent understanding of evaluation metrics and ML evaluation methods such as A/B testing and cross-validation.
• Experience with Git and building CI/CD pipelines for ML models, preferably in Azure DevOps/Azure Pipelines.

Bonus points:

• Familiarity with Generative AI models and the open-source frameworks for GenAI such as LangChain.
• Knowledge of vector databases.
• Experience with monitoring and logging ML models in production.
• Knowledge of data governance and compliance for ML use cases.
• Databricks certifications.
• Azure certifications.

Soft skills:

• Excellent problem-solving skills and a proactive approach to identifying and resolving issues.
• Strong and clear communication skills in English (and preferably Dutch).
• Effective stakeholder management, planning, and organizational skills to structure and guide projects toward successful completion.
• Working experience with Scrum/Agile principles.
• Inclination for mentoring junior team members on hard and soft skills.
• Demonstrated ability to work collaboratively in a team environment, fostering a positive and inclusive culture.
• High level of accuracy and attention to detail, ensuring data integrity and the quality of deliverables.

We are offering

You are given every opportunity and independence to demonstrate your professional expertise and to further develop yourself. We attach great value to personal development and thereby offer you many training and development opportunities. In addition:

• A competitive salary based on a 36-40 hour working week.
• Benefit budget of 11% that you can decide yourself if you want extra holiday allowances, a lease bike or that you want the budget paid out.
• A solid pension plan.
• An annual public transportation pass or travel budget, depending on the function.
• Personal development budget of EUR 1.000 per year.
• Banking for better days. These are days you can use for your personal development or on which you can contribute to society.