Job Description:
"MLOps Engineer in a Data Science team
Are you an MLOps Engineer who is passionate about building high-quality software solutions on top of the richest data source of the bank: transaction data?
Good. Then read on...
You and your job
The team needs your help to design, build and run ground-breaking solutions that are as valuable to their 7 million customers to use as they are fun for us to create. As an MLOps Engineer, you will join a multi-disciplinary team where you will have end-to-end responsibility for your solutions. they expect you to inspire others with your craftmanship and passion for software solutions.
Practical examples
Design and build for low latency solutions while working with billions of transactions.
Pair program with team members to solve critical or complex problems.
Share your passion and knowledge about best software engineering practices.
Facts & figures
36-40 hours a week.
The epic center of applied innovation.
43,822 colleagues around the world.
Top responsibilities
Design, build, test, deploy and run high-quality backend software solutions.
Contribute to the relentless automation of the above activities.
Give and receive help from peers, experts, and stakeholders so they can improve together.
They believe that bringing together people's differences is what makes this client an even better bank This client operates in 38 countries for over 9,5000,000 customers. Together with these customers, the members, and partners, they stand side by side to create a world in which everyone has access to enough healthy food. In the Netherlands, they work to create a country in which people are happy with how they live, work, and do business.
Within this client, Data Science is an ambitious department that aims to mix in a healthy dose of experience, innovation, and creativity in order to develop innovative products and services. Although they've grown up to be a mature department with 15 strong end-to-end teams, they keep focusing on fast learning, delivering value quickly, and being more effective. As a team, you work on clear goals and continuously see the results of your (team) efforts.
Being part of an end-to-end team in Data Science means that you, together with other engineers, data scientists, a scrum master, a solution architect, and a product owner, are responsible and empowered to design, build and run solutions with a strong machine learning component.
You and your talent
You are a nice, friendly, and approachable person.
You have at least 5 years of experience with software engineering.
You have at least 1 year of experience with Python development.
You have at least 1 year of experience with Databricks development.
You have at least 3 years of experience deploying solutions to Azure.
You have at least 3 years of experience building CI/CD environments.
You have a passion for building clean, well-structured, and testable solutions.
You can communicate well in the English language.
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