Redpine
Applied AI Engineer
- Location
- SwedenCentral Stockholm; office-first with autonomy for deep-work days.
- Work setup
- On-site
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At a glance
Own Redpine’s AI/ML solutions for licensed data, developing quality-assessment models, automated validation and labeling, evaluation and matching algorithms. You will build scalable data pipelines and work with customers on AI data requirements. This office-first Stockholm role requires Python, ML deployment and cloud experience, valid Swedish work eligibility, and offers relocation support and equity.
The work
- Design ML models for data quality assessment and validation.
- Build automated data labeling, annotation verification and data-matching algorithms.
- Create and maintain processing pipelines for AI training data and scalable datasets.
- Translate customer and stakeholder AI data requirements into implementation.
Early engineering ownership of ML for licensed training and inference data; the same people design, ship and run the systems.
What you bring
- Required: experience developing, training and deploying AI/ML models; Python, ML tools and serving techniques.
- Source examples include PyTorch, R, Scala, Hugging Face, TensorFlow Serving, TorchServe and custom APIs; no claim that every named option is mandatory.
- Required: large-scale data processing, Docker/Kubernetes and Git; communication and independent engineering capability.
- Required: valid Swedish work permit or equivalent eligibility.
- Preferred: Master’s or Ph.D. in Computer Science, Machine Learning or similar.
Practical details
- Employment
- See the original posting for this information.
- Work eligibility
- Valid Swedish work permit or equivalent; relocation support offered.
- Compensation
- Competitive salary and meaningful equity; no amount, grant size or conditions disclosed.
- Applications
- Interviews ongoing; no dated application deadline stated.
Read the original posting ↗Employer information summarised by Nordic AI Jobs.
The application opens on the employer’s site.