Analytics Engineer - AXIS EVP METS, Lund
Workplace: Lund, Sverige
Expires: August 31, 2025
Join the EVP METS Analytics team at Axis Communications in Lund, Sweden, to develop advanced analytic features for Extended Video Products using cutting-edge technologies like Deep Learning and Machine Learning. Collaborate with cross-disciplinary teams to create innovative analytics tailored to explosion protected cameras, thermal cameras, specialty cameras, and multichannel products. Benefit from an open, friendly, and agile work environment that fosters knowledge sharing, professional growth, and a strong team spirit.
Main requirements:
  • Bachelor's or Master's degree in Computer Science, Physics, Mathematics, Engineering or equivalent
  • Experience with Python, C and/or C++ programming
  • Familiarity with Linux operating system
  • Interest in algorithm development and Deep Learning / Machine Learning
Responsibilities:
  • Develop AI/ML-based analytic features for new Axis video products
  • Adapt analytics to specialized use cases for explosion protected, thermal, and specialty cameras
  • Collaborate with multidisciplinary teams including software, image quality, mechanical design, and electronics
  • Contribute to market-leading product development in an agile environment
Required hard skills:
  • Python programming
  • C and/or C++ programming
  • Linux system knowledge
  • Algorithm development
  • Deep Learning / Machine Learning concepts
Recommended hard skills:
  • Experience working with Analytics and Deep Learning / Machine Learning
  • Agile teamwork methodologies
  • Cloud technologies
  • Linux system programming including user space, kernel space and device drivers
  • Continuous integration
  • Version control using Git
  • Build tools
Soft skills:
  • Curiosity
  • Passion for technology
  • Teamwork and collaboration
  • Creativity
  • Openness
  • Trustworthiness
  • Commitment
  • Playfulness
  • Encouragement
Coding languages:
  • Python
  • C
  • C++
Operating systems:
  • Linux
Natural languages:
  • English (Proficient)
Cultural skills:
  • Agile working methodologies
  • Knowledge sharing culture
  • Openness and trust
  • Commitment to sustainability, equality and inclusion