AI Lead: Edge AI for Care Tech Transformation

AI-utvikler; Oslo; In loco; NOK 1.400.000 - 2.000.000; Tempo pieno

Vantaggi offerti da questo lavoro

Leadership role

Broad AI scope across data and product

International projects

Impact on care

Descrizione del lavoro

Sensio in Oslo is seeking an AI Lead to define technical direction and build our in-house AI team. You will lead AI transformation across data, model development, MLOps, validation and deployment for embedded hardware and server-based services.

You will align AI work with product roadmaps, guide architecture decisions, scale AI across edge devices, ensure privacy and safety, and mentor a team of AI specialists across product teams in a fast-moving environment.

Competenze

• Strong experience in ML, CV or embedded AI in real-world environments.
• Advanced academic training in ML/CS/robotics or related field at master’s or PhD level, or equivalent.
• Experience across data preparation, model development, validation, deployment, MLOps and performance monitoring.

Mansioni

• Lead and scale Sensio’s AI transformation across data, models and deployment.
• Set technical direction for AI across data, ML, MLOps and performance tracking.
• Drive embedded AI initiatives for resource-constrained edge devices.
• Collaborate with data, annotation, ML, embedded, product and engineering teams to build reliable AI workflows.
• Improve privacy, explainability, and scalability of AI systems.
• Define internal AI principles, standards, and ways of working.

Conoscenze

Machine learning

Embedded AI

Computer vision

Leadership

MLOps

C++

Embedded hardware

Formazione

Master’s or PhD in ML/CS/related

Strumenti

Pytorch

Embedded Linux

Descrizione del lavoro

Sensio in Oslo is seeking an AI Lead to define technical direction and build our in-house AI team. You will lead AI transformation across data, model development, MLOps, validation and deployment for embedded hardware and server-based services.

You will align AI work with product roadmaps, guide architecture decisions, scale AI across edge devices, ensure privacy and safety, and mentor a team of AI specialists across product teams in a fast-moving environment.