Join us in shaping the future of biodiversity and environmental sustainability.

Are you passionate about using data to minimize human footprint on the environment? Do you enjoy writing clean code, designing, and implementing pragmatic and scalable Machine Learning and IOT solutions?

About FaunaPhotonics

We are at the forefront of insect monitoring, providing essential data to support biodiversity preservation. Our IoT sensor technologies capture insect activity, processed and analyzed in our Data Lake using AI. The resulting biodiversity insights are presented to our customers through our customer portal, enabling them to take informed action and document their impact on biodiversity. In doing so, we help drive sustainable solutions for the planet.

We’re a team of approximately 15 professionals working out of our office in Nordhavn. Our work environment embraces agile development, cross-functional collaboration, and a culture of innovation. We prioritize open dialogue, fail-fast experimentation, and an entrepreneurial mindset as we pursue our shared vision.

Your Role

As a Senior Data Scientist, you will collaborate with data scientists, developers, and biologists to enhance the quality and capabilities of our Machine Learning solutions, including their lifecycle management (MLOps). You will also be involved in discovering innovative ways to present our data to customers and interacting with them to understand better how our data can generate valuable insights.

Given our company's innovative culture, you will also participate in skunkworks projects aimed at jumpstarting new product developments or expanding the application areas of our existing solutions.

Key Responsibilities:

• Collaborate with the product owner and team to refine features and user stories that drive the development of our Data Lake and MLOps capabilities.

• Building ML models on signal data from our sensors and statistical models of related biodiversity and ecosystem health,

• Design and build intuitive, user-friendly interfaces for presenting complex biodiversity and insect activity data.

• Work closely with the team to integrate new technologies and maintain a scalable infrastructure on AWS.

• Contribute to an agile environment focused on continuous improvement and innovation.

  
  

 What We're Looking For

• 3+ years of experience as an ML engineer

• MSc in Software Engineering, Computer Science, or similar,

• Experience with applying deep learning for signal processing

• Understanding and experience with MLOps

• Solid programming skills in Python

• Experience with cloud programming, especially AWS

+       Entrepreneurial spirit who is structured, proactive and independent

+       Strong communication skills and ability to collaborate across business and technology functions.

Why FaunaPhotonics?

This is a unique opportunity to be part of a company where technology meets environmental impact. You will contribute directly to a product that aids in tracking biodiversity and fostering a sustainable future.

 Interested?

We invite you to reach out to us with your vision and technical approach. Share how you would tackle this challenge and contribute to FaunaPhotonics’ mission.

We’re not looking for a typical CV submission process — we’d love to converse beyond the traditional interview format. We're excited to hear your ideas and explore how you might fit into our team.

Note to recruiters and consultancies: We are handling this recruitment entirely in-house, and we are not interested in external proposals or pitches at this time.