Senior AI Platform Engineer

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.