Applied AI Engineer: Data Quality & ML Pipelines

Redpine; Stockholms kommun; On-site; SEK 900,000 - 1,100,000; Full time

Job summary

Redpine in Stockholm is seeking an Applied AI Engineer to own AI/ML solution definition, scaling, and expansion across the platform. You will develop and deploy models for data quality assessment, automated labeling, and intelligent data matching.

You'll work closely with product and engineering to translate data requirements into scalable pipelines, with a focus on global-scale deployment and robust APIs. A master's or PhD is a plus, and relocation support is available for the right candidate.

Qualifications

• Experience in designing and deploying ML models for data quality and validation.
• Ability to build scalable data processing pipelines for AI training data.
• Familiarity with model deployment and serving frameworks.

Responsibilities

• Define and implement ML models for data quality assessment and validation.
• Create and maintain data pipelines for AI training data types.
• Develop and optimize matching algorithms between providers and buyers.

Skills

AI/ML model development

Python programming

PyTorch

Hugging Face

Distributed computing

Data quality concepts

Education

Master's or PhD in CS/ML

Tools

Docker

Kubernetes

Git

TensorFlow Serving

TorchServe

Job description

Redpine in Stockholm is seeking an Applied AI Engineer to own AI/ML solution definition, scaling, and expansion across the platform. You will develop and deploy models for data quality assessment, automated labeling, and intelligent data matching.

You'll work closely with product and engineering to translate data requirements into scalable pipelines, with a focus on global-scale deployment and robust APIs. A master's or PhD is a plus, and relocation support is available for the right candidate.