Machine Learning Engineer

Hybrid
Mid-level
🇸🇪 Sweden
Machine Learning Developer
Data science & Analytics

SEB is more than just a bank with an IT function. We are a progressive tech company powered by innovation and fueled by collaboration. From Java to AI and everything in between, we offer you an impressive tech stack and several technology paths. Together we're innovating for a sustainable society and building the tech arena of the future, a welcoming space for everyone.

We are looking for a Machine Learning Engineer to strengthen our team in Stockholm, working with our scalable Advanced Analytics products.

About the job

We are working together with our colleagues from different parts of SEB to provide advanced analytics to all at SEB. Our team consists of world-class Data Scientists and Machine Learning Engineers. Together we design, develop and deploy ML models to GCP and deliver value from data and analytics.

Together, we will increase the frequency of finding valuable insights within our data in the bank waiting to be found. Our team is dedicated to making data science and machine learning accessible by creating user-friendly, secure and governed tools that standardize the ways of working.

We belong to the SEB Data & Analytics tribe, an international environment with multiple agile development teams working in an enterprise superset of scrum located in Stockholm and Vilnius, consisting of experts in various Big Data and Advanced Analytics technologies.

Who are you?

We are looking for an engineer with system operations experience and an interest in system development and machine learning.

You and your fellow team members will create and maintain products in the Advanced Analytics team, together with data scientists and other internal customers.

If you are analytical, curious and have a passion for problem-solving and discovering new ways of working, you will enjoy it here. Especially if you also like Swedish fika!

Required skills

  • A degree in engineering, computer or data science, or equivalent work experience
  • Experience from designing, implementing and deploying ML models
  • Experience from working in Linux environments
  • Programming and scripting skills (e.g. Python and bash scripting)
  • Experience in developing services (e.g. REST APIs)
  • Collaboration skills and a high sense of responsibility. We always work and deliver as a team, and the ability to share knowledge and experience is fundamental.
  • Well-versed in matters of IT security
  • Automation and configuration management systems (e.g. Ansible, Terraform, Chef)
  • Cloud technologies, such as GCP
  • CI/CD, such as GitHub Actions or GitLab pipelines

Nice-to-have

  • Programming skills in Java and Scala
  • Experience in working with container orchestration (e.g. Docker, Kubernetes, OpenShift).
  • Data engineering experience, e.g. Apache Spark
  • Database knowledge (RDBMS and/or NoSQL)
  • Knowledge of authentication and authorization services (e.g. Kerberos, LDAP, OAuth 2.0)

Learn more about working at SEB atwww.sebgroup.com/career

It is our fundamental belief that inclusion and diversity are crucial for our future success. We strive to have an inclusive, value-driven culture where employees feel valued, respected and involved irrespective of who they are, what they believe or where they come from.

Great people often know great people – please share if you have a friend who would love this job.

Welcome with your application

Attach your CV and a personal letter describing yourself and how you can contributeto our journey. We will contact candidates on a running basis, feel free to send in your application today, but no later than 2024-08-31. Please note that due to the summer holiday season, responses might take a bit longer.

If you have questions about the position, please contact Dina Dervisevic, EngineeringManager – Advanced Analytics and Data Services, at dina.dervisevic@seb.se

SEB Sweden has a redeployment responsibility, why this position might be covered by internal redeployment.

 

SEB

SEB

Banking institution that values diversity and inclusion.

Banking
CSR (Corporate Social Responsibility)

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