ML Engineer — End-to-End Pipelines & Secure Deployment

SEB group; Sweden; Hybrid; SEK 372,786 - 559,179; Full time

Benefits offered by this job

Agile working environment

Extensive training and learning opportunities

Hybrid work model

Job summary

SEB group in Sweden is looking for a Machine Learning Engineer who will design and operate end-to-end ML pipelines, focusing on model lifecycle management and secure deployment. The role requires strong collaboration skills and practical experience with modern ML frameworks. SEB group offers a hybrid work model, extensive training opportunities, and a progressive culture that values diversity and inclusion. If you're passionate about AI and innovation, this is the perfect opportunity for you.

Qualifications

• Strong foundation in machine learning concepts and model lifecycle management.
• Practical experience with modern ML frameworks and LLMs.
• Expertise in designing and operating end-to-end ML pipelines.

Responsibilities

• Building end-to-end ML pipelines, covering training, validation, and deployment.
• Implementing MLOps practices, including drift detection and model versioning.
• Exposing models as secure APIs and understanding AI risks.

Skills

Machine learning concepts

End-to-end ML lifecycle management

Modern ML frameworks

MLOps practices

Secure model serving

Collaboration and communication skills

Job description

SEB group in Sweden is looking for a Machine Learning Engineer who will design and operate end-to-end ML pipelines, focusing on model lifecycle management and secure deployment. The role requires strong collaboration skills and practical experience with modern ML frameworks. SEB group offers a hybrid work model, extensive training opportunities, and a progressive culture that values diversity and inclusion. If you're passionate about AI and innovation, this is the perfect opportunity for you.