mlops engineer

KBC Group, the parent company of the Hungarian K&H Bank, is a leading European financial group with a focus on providing bank-insurance products and services to retail, private banking, SME and mid-cap clients, in our core countries: Belgium, Czech Republic, Slovakia, Hungary and Bulgaria.

The KBC Services and Infrastructure division (SIN) decided on a nearshore HR strategy based on 2 locations: the core internal workforce is based in Belgium and in Hungary. Therefore not only our services are international, but also our teams.

Our responsibilities range from day-to-day operation to application development and its operation.

We are constantly expanding the Hungarian side of the team, which is why we are looking for enthusiastic, motivated new employees with junior, medior or possibly senior work experience.

KBC group is currently creating a new big data platform in AWS. On top of the platform, we are building a platform that focuses on supporting data analytics and other technical computing workflows. You will participate in this effort, as a valuable team player, to analyse, design, and implement the platform in close collaboration with data scientists.

As a cloud platform engineer in a data analytics context, you are responsible for engineering a well architected data analytics platform with particular emphasis on interactive computing and highly automated model lifecycle management based on MLOps. Main considerations for the design include security, maintainability, flexibility, user-friendliness and integration between components on the platform.

You work closely with data scientists to understand their functional needs and translate them in an actual solution. Then, you rapidly iterate over the solution based on frequent feedback from data scientists.

Due to how the platform is used in the group, you are also responsible for documenting guidelines for future platform operators.

What you can expect working with us:

• You can make sure your future career is steady within our company
• Life-long learning and plenty of opportunities to challenge yourself
• Competitive salary as well as other benefits such as:
• 10% customizable cafeteria,
• annual performance-based reward,
• company phone with mobile internet, that you can use for private purposes as well
• employee discount at the bank
• Medicover
• Your English language skills won’t be worn out as you can use it on a daily basis
• Flexible schedule as we don’t use ‘Clock in Clock out’ system 
• As our focus is on teamwork we consider it important to hang out in the "open office" together, but you have the option to spend 3 days per week working from home
• We value your insight and are always open to suggestions
• International environment with a cheerful work atmosphere
• Green office in Millennium Park, equipped with:
• bicycle storage and showers
• restaurant with panoramic views over the Danube and the National Theatre
• free coffee and snacks in our community area where we hang out and play darts, and have many other dining options in the surrounding area

What we expect from You:

• Good working knowledge of cloud computing in general, and AWS specifically (AWS IAM, EC2, S3, VPC)
  As KBC has chosen for AWS as a cloud service provider we often mention their technology in this job description. Decent Cloud experience (doesn‘t matter which Cloud, as long as it is one of the big three (GCP, Azure or AWS)) and Infrastructure-as-Code experience are also valuable.
• Other AWS services such as Cognito, Lambda, CloudWatch, ECR, Athena etc
• Basic understanding of AWS products related to machine learning (AWS SageMaker, MLflow)
• Experience with Infrastructure-as-Code (IAC) tools such as Terraform, Pulumi, AWS CloudFormation etc
• Kubernetes / Helm
• Good knowledge of user management (authentication and authorization) with AWS products and OSS solutions
• Good grasp of big data ecosystem and tooling especially Apache Spark and related technologies
• Good verbal and written communication skill in English
• Willingness to work in close collaboration with data scientists and other engineers from different teams
• An ability to work in a highly dynamic environment
• A can-do attitude to cope with non-technical constraints
• Fluency in English both written and verbal

 What you can expect during the recruitment process:

• After sending your CV in English, expect a two-round interview process, one online in English with the Belgian team leader, and the other at our office in Budapest (in Hungarian) to get to know each other better
• An efficient selection process is important for both of us, so we try to make it as fast as possible, and even if you are not selected we will give you a detailed feedback.