Machine Learning Engineer

About The Role

Imagine working at the intersection of business and engineering, where your work directly contributes to protecting customers and safeguarding financial systems. As a Machine Learning Engineer, you will play a pivotal role in bridging business needs and IT development, focusing on high‑impact areas such as Financial Economic Crime (FEC) and Customer Due Diligence (CDD).

You will help design, build, and operate scalable machine learning platforms and pipelines, with a strong focus on automation, standardization, and regulatory‑compliant model delivery. Your work will directly support secure, efficient, and reliable deployment of machine learning models in a complex enterprise environment.

Key Responsibilities

• Work on a critical banking domain: Financial Economic Crime (FEC).
• Develop, manage, and maintain Azure infrastructure and Databricks workspaces tailored for high‑performance ML and AI use cases
• Build and maintain scalable machine learning pipelines across the full ML lifecycle in close collaboration with data scientists and engineering teams
• Ensure the health and reliability of ML systems by monitoring data quality, model performance, and business impact, and defining mitigation strategies where needed
• Identify bottlenecks and improvement opportunities in the ML development cycle and introduce tools to improve development, testing, and deployment efficiency
• Implement solutions in line with architectural guidelines and engineering best practices
• Continuously evolve your technical expertise by staying up to date with the latest ML, data, and cloud technologies
  
  

Your Profile

• Eager to learn, solution‑oriented, and collaborative by nature
• Completed HBO or WO degree in a relevant field (e.g., Computer Science, Data, Engineering)
• Minimum 4 years of relevant experience in Software, Data, or ML Engineering, including at least 2 years in Machine Learning Engineering
• Strong hands‑on experience with Python and PySpark, ideally working with large datasets
• Experience with Azure Databricks is a strong plus
• Solid software engineering practices, including Git, release management, unit testing, and testing strategies
• Experience working in a cloud environment, preferably Microsoft Azure
• Familiar with setting up and managing CI/CD pipelines
• Experience working in Agile and/or Scrum development environments
• Passionate about building scalable, efficient, and robust data and ML solutions
  
  

What We Offer

• A competitive salary based on your qualities and experience
• NS business card to cover your commute expenses
• 25 days of paid holiday per year
• A laptop and a smartphone
• A pension scheme
• Health insurance
• Organization driven by technology – we have a tremendous technology backbone
• Access to Udemy, Cognizant Academy digital libraries for your continuous learning
• Open, ‘can do’ team spirit and international environment that encourages making your ideas reality!
  
  

Recruiter contact details

Name: Nikoletta Katona

Email: [email protected]

Diversity and Inclusion at Cognizant

At Cognizant, we believe diversity and inclusion are at the heart of our ability to execute successfully and consistently over the long term. We recognize that our people are our most important asset. We strive to create an environment where all associates feel comfortable to be themselves, feel accepted and can therefore thrive both personally and professionally. We continue to drive D&I throughout our organization to unlock the insights, imagination and innovation of our associates, as well as reflect the diversity of our clients and communities. We are a Dutch and European Top Employer and continually drive employment recognition and engagement through employee friendly policies and affinity groups such as “Women Empowered”, “Embrace LGBTQ+” and “Race Equality Network”. For more information, see https://careers.cognizant.com/global/en/diversity-and-inclusion