Senior Data Flywheel Engineer / MLOps Engineer

We are looking for  Senior Data Flywheel Engineer / MLOps Engineer

Location: Stockholm, Sweden (Hybrid)
Employment type: Full-time

About the Company

Our mission is to kickstart a new Western industrial revolution.
We are building the infrastructure that enables millions of small and medium-sized businesses to deploy manufacturing in new markets using physical AI systems and robots.

Our engineering team works on “systems of systems,” where AI and robotics come together to build reliable and scalable factories of the future.

About the Role

We are looking for a Data Flywheel Engineer / MLOps Engineer to help design and build the systems for collecting, processing, and organizing data from our robots.

You will be responsible for data pipelines that turn every action of our robots into training material for AI models.
This role is key to making our robots smarter with each deployment and ensuring our models are more effective in the real world.

Key Responsibilities

-Build and maintain end-to-end data pipelines from robots to AI models.

-Collect multimodal data (video, sensors, movements, forces/torque) from all deployed robots.

-Clean, label, and prepare data for AI model training.

-Work with local and cloud infrastructure (GPU / AWS / GCP).

-Collaborate with AI and simulation engineers to integrate data into training environments.

-Implement MLOps practices for continuous improvement of AI models.

Requirements

-Bachelor’s or Master’s degree in Computer Science or a related field (or equivalent experience).

 5+ years of experience in Python, building data pipelines, and MLOps.

-Experience with cloud platforms (AWS / GCP) and GPU systems.

-Hands-on experience with large or multimodal datasets.

Preferred Qualifications

-Containerization: Docker, Kubernetes.

-Experience with robotics or autonomous systems is a plus but not required.

-Passion for building self-improving systems and a pragmatic approach to engineering.