Senior Computer Vision Engineer

2 days ago


Lund, Skåne, Sweden Solvex Solutions Full time 900,000 - 1,200,000 per year

Senior Computer Vision Engineer – AI & Video Analytics

We are seeking a
Senior Computer Vision Engineer
to join a high-performing team driving innovation in
AI-powered video analytics
and
automated evaluation systems
.

In this role, you'll develop advanced tools and scalable frameworks that assess and optimise computer vision models for real-world applications. You'll work hands-on with large-scale video datasets, collaborate across AI and data teams, and build intelligent evaluation pipelines that push performance boundaries.

This is an on-site role based in
Lund, Sweden (4 days per week)
— ideal for someone who thrives in a fast-paced, collaborative environment where cutting-edge vision systems are built and refined daily.

What You'll Do

  • Design and improve automated evaluation systems for AI and video analytics applications.
  • Build and maintain large-scale, well-annotated video datasets using platforms like
    CVAT
    .
  • Develop clean, efficient, and scalable
    Python-based frameworks
    for testing and evaluation.
  • Implement robust model assessment metrics (precision, recall, confusion matrices, etc.) and visualise insights through interactive dashboards.
  • Collaborate cross-functionally to troubleshoot and optimise AI models using data-driven insights.

What You Bring

  • Proven experience in
    Computer Vision
    or
    Video Analytics
    , preferably in large-scale production environments.
  • Expertise in
    Python
    and a strong understanding of
    software design principles
    .
  • Experience with
    distributed computing
    and scalable system design.
  • Practical knowledge of
    test-driven development
    ,
    automation
    , and
    data-driven evaluation
    .
  • Excellent communication and mentoring skills, with the ability to turn complex evaluation data into actionable insights.

Bonus Points:

  • Experience with dataset curation and quality assurance across diverse real-world conditions.
  • Knowledge of AI troubleshooting and optimisation techniques.


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