Senior Computer Vision Engineer - Retail Vision (Hybrid)

Scandit; Tampere; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Hybrid or home working

Hackathons

Great Place to Work certification

Job summary

Scandit Tampere is seeking a Senior Computer Vision Engineer to lead the technical discovery and early development of a new retail CV solution. You will validate risky assumptions, build end-to-end prototypes, and work with product and engineering to turn video data into robust, privacy-aware CV models for live retail environments.

This role blends cutting-edge CV/ML research with pragmatic, production-focused delivery in a high-ambiguity environment, offering hybrid work options and

Qualifications

• University degree in Computer Science, Electrical Engineering, or Mathematics.
• Hands-on CV/ML experience with production systems.
• End-to-end CV/ML systems development experience (0→1).
• Strong English communication and collaboration skills.

Responsibilities

• Define and prioritize technical experiments to validate key risks for CV models in retail.
• Design and implement end-to-end CV/ML pipelines on real-world video data.
• Set up and refine annotation workflows to create high-quality datasets.
• Collaborate with product managers and engineering leaders to translate business needs into tech roadmaps.
• Adapt and optimize state-of-the-art CV architectures for action detection in unconstrained environments.
• Provide technical leadership and help shape hiring and best practices for the team.

Skills

Computer vision

Machine learning

Python

English communication

Education

University degree in Computer Science, Electrical Engineering, Mathematics

Tools

Annotation tools

Video data pipelines

GDPR/privacy pipelines

Job description

Scandit Tampere is seeking a Senior Computer Vision Engineer to lead the technical discovery and early development of a new retail CV solution. You will validate risky assumptions, build end-to-end prototypes, and work with product and engineering to turn video data into robust, privacy-aware CV models for live retail environments.

This role blends cutting-edge CV/ML research with pragmatic, production-focused delivery in a high-ambiguity environment, offering hybrid work options and