Join Our Team as a Senior MLOps Engineer at ING

At ING, we are on a mission to spearhead the financial industry’s digital transformation by integrating state-of-the-art machine learning technologies into our systems. We are now offering an exciting opportunity for a seasoned Senior MLOps Engineer to contribute to our robust Analytics Engineering team. This diverse team includes over 150 professionals who are dedicated to turning ING into a more data-driven organization.

About the Analytics Engineering Team at ING

The Analytics Engineering team at ING combines the prowess of Big Data technology with advanced Data Science methodologies to craft valuable solutions and products that drive our organization forward. Situated in a dynamic and creative work environment, our team thrives on mutual support and the collective pursuit of excellence in innovative projects.

Role Overview

As a Senior MLOps Engineer, you will immerse yourself in machine learning projects, using your passion for the latest technologies to help data scientists develop, deploy, monitor, and operationalize models successfully. This role involves enhancing our data execution platforms, maintaining superior coding standards, and crafting reusable code that sets benchmarks in the industry.

Key Responsibilities

• Develop and manage machine learning platforms both on-premises and on the cloud (Google Cloud Platform).
• Ensure robust model training and deployment in collaboration with data scientists.
• Maintain high standards in code quality, including practices like versioning, testing, documentation, and code reviews.
• Utilize technologies and frameworks such as sklearn, MLFlow, TensorFlow, and more to advance our ML capabilities.

Qualifications for Success

Ideal candidates will have proven experience in machine learning projects and be proficient in:

• Programming languages like Python and optional knowledge in Scala, Java, or Go.
• Setting up and managing both SQL and noSQL databases.
• Kubernetes for deploying and managing applications, along with familiarity in Docker and Openshift.
• Building and automating deployments using CI/CD methodologies.
• Advanced Analytics, Data Science, NLP, and more.

Rewards & Benefits

ING is committed to supporting our employees’ work-life balance. Benefits include a competitive salary aligned with experience, vacation days, pension scheme, annual bonuses, and flexible hybrid working arrangements among others. Learn more about what we offer at .

Join a Leading Team

With a vast footprint spanning 40 countries and housing 60,000 employees, ING is an ideal place to grow your skills at the cutting edge of technology, business, and innovation. We prioritize integrity and customer interests, ensuring a supportive and inclusive workplace.

Apply Now!

If you’re ready to take on exciting challenges at ING, we would love to see your application. Don’t miss out on this opportunity to advance your career with a global leader. Apply today!

For direct applications, please upload your CV and motivation letter by clicking the "Apply" button. For more information, contact the recruiter associated with this position.