Senior AI Platform Engineer

1 week ago

Stockholm, Stockholm, Sweden DreamTeams Full time

Senior AI Platform/Data Engineer (Hybrid, Permanent) – Stockholm - Banking

Our client, a leading bank in the Nordics, is looking for a
Senior
AI
Platform/Data Engineer
to join their Advanced Analytics & AI department in a crucial role to drive their business forward by building and operating data & AI/ML solutions as they are on a mission to lead the industry in Advanced Analytics & AI, by delivering superior products and services as well as a great experience to their customers.

In this role, you'll leverage statistics, AI/ML and cutting edge technologies to deliver business value across content diffrent areas from personalization, product development to their business strategy.

Leveraging your On-Prem & Cloud platform experience, you'll be working alongside a team of talented engineers with expertise in Software Development, Machine Learning, and Data Engineering. This is your opportunity to lead, innovate, and drive meaningful impact in a great environment.

Why This Role?

  • Do you have a passion for AI/ML, Data & DevOps?
  • You prefer Linux systems and enjoy building efficient CI/CD pipelines with tools like Ansible?
  • Are you excited by the chance to work on cutting-edge Data, AI, and ML Engineering projects?
  • Do you thrive in collaborative, high-performing teams, with seamless platform operation, continuous improvements, and scalable solutions?

What You'll Do:

  • Lead the development, extension, and smooth operation of their platform, ensuring reliability and efficiency.
  • Play a key role in adding new features, improving infrastructure, and leading implementations from start to finish.
  • Shape the future of Data, AI/ML, DevOps and SRE in their Advanced Analytics & AI department, becoming a thought leader and go-to expert.

What You Bring:

  • 4+ years
    of experience as a
    Data Engineer, DevOps Engineer, or ML Engineer
    .
  • Strong software development skills with a deep understanding of
    system design
    .
  • Expertise in building and managing
    data pipelines, data modeling/-orchestration/-validation
    with tools like
    dbt, Prefect,
    and
    Spark
    .
  • Proficiency in
    Python
    and
    SQL
    .
  • Experience with
    containerized
    development
    in a
    Linux
    environment.
  • Familiarity with
    test-driven development
    practices.
  • Practical knowledge of
    ML model deployment
    and
    MLOps
    .
  • Experience with
    infrastructure-as-code
    tools such as
    Terraform
    and
    Ansible
    .
  • A
    Master's degree
    in a technical field (or equivalent) is preferred, but not essential.

What We Offer:

  • A positive, friendly, and supportive culture where collaboration, smart thinking, and continuous improvement are celebrated.
  • The opportunity to solve
    complex challenges
    in an environment that does things right rather than just fast
  • A
    hybrid work model
    that supports work-life balance
  • A chance to join a team that values
    curiosity, inventiveness
    , and an ambitious drive to make things better.

If this sounds like the next step in your career, we'd love to hear from you
Click apply now
and start the conversation.

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