Machine Learning Engineer

📋 Job Overview

Do you want to work on developing digital services for the future and challenge the traditional ways banks operate? With technology as our driving force, we provide world-class services to SEB group customers and business divisions in 20 sites worldwide. With us, you'll be part of a dedicated team of over 2800 employees who constantly work towards improving business development and growth. Do you want to work at the interface between ground-breaking technology and a world of financial flows? Welcome to SEB Global Services!

🏢 About SEB Global Services

SEB Global Services is a technology-driven organization that provides world-class services to SEB group customers and business divisions in 20 sites worldwide. We are a dedicated team of over 2800 employees who constantly work towards improving business development and growth.

🎯 The Role

As a member of the Data Analytics ART team, you will develop machine learning solutions that drive customer insights and innovation, utilize a diverse tech stack including Git, Kafka, RESTful APIs, BigQuery, and Vertex AI, apply best practices for continuous integration to manage GCP-deployed products, and design innovative technical solutions while engaging in workshops, hackathons, and tech guilds.

✅ Key Responsibilities

• Develop machine learning solutions that drive customer insights and innovation
• Utilize a diverse tech stack including Git, Kafka, RESTful APIs, BigQuery, and Vertex AI
• Apply best practices for continuous integration to manage GCP-deployed products
• Design innovative technical solutions
• Engage in workshops, hackathons, and tech guilds

📌 Required Qualifications

• A background in engineering, computer or data science, or equivalent practical experience in machine learning or data analytics.
• Several years of experience in designing, implementing, and deploying ML models using GCP services like Vertex AI or BigQuery ML.
• Proficiency in Python and bash scripting for automating workflows
• Proven experience in designing and developing scalable REST APIs for machine learning or data analytics applications.
• Familiarity with Terraform, Docker, and SQL for infrastructure and data management.

🎁 Benefits

• Agile and modern ways of working