Machine Learning Engineer

We are seeking a skilled Machine Learning Engineer to join our dynamic on-site team.

Apply now

About us

Sensofusion is a global leader in anti-drone technology, specializing in the detection, tracking, and mitigation of unauthorized drone activities. Our flagship product, AIRFENCE, protects critical infrastructures, military bases, and public venues worldwide. We are dedicated to advancing security through cutting-edge innovations, and we’re looking for talented individuals to join us in making the world a safer place.

 

 

Job Title

Machine Learning Engineer

 

Location

Hakamäenkuja 1, 01510 Vantaa, Finland

 

Job Description

We are seeking a skilled Machine Learning Engineer to join our dynamic on-site team. The ideal candidate has a strong background in machine learning and a proven track record of managing end-to-end ML projects, from data acquisition and labeling to model building and deployment. In this role, you will develop advanced algorithms that enhance our drone detection and tracking capabilities, directly contributing to technologies that have a true global impact on security and safety. Please note that this is an on-site position, and remote work is not available.

Responsibilities

  • End-to-end development and maintenance of machine learning and computer vision models for real-time drone detection and classification.
  • Manage the complete ML project lifecycle, including data acquisition, data labeling, model development, and deployment.
  • Collaborate with cross-functional teams to integrate ML solutions on edge devices.
  • Participate in the full software development lifecycle, including testing and deployment.
  • Refine algorithms to ensure high accuracy and performance in dynamic environments.
  • Stay updated with the latest advancements in machine learning and apply them to our systems.

Qualifications

  • Solid understanding of Python and PyTorch.
  • Proven experience in developing and managing end-to-end ML projects, including data acquisition, labeling, model building, and deployment.
  • Experience with computer vision techniques and image processing.
  • Ability to create and deploy models from scratch.
  • Fluency in English.

Preferred qualifications

  • Experience with signal processing (FFT, OFDM, PSK).
  • Familiarity with deploying ML models on edge devices.
  • Proficiency in C++.

What we offer

  • Competitive salary and comprehensive benefits package.
  • Opportunity to work on innovative projects with true global impact.
  • Freedom to propose and lead new projects that contribute to our technological progress and mission.
  • Professional development opportunities and a collaborative work environment.

 

Become a part of our innovation

If you’re interested, please submit your application – including your resume and salary expectations. We encourage you to apply as soon as possible, as we will fill the position once we find the right candidate.

 

Apply now