🎉 Emanuil Ivanov invites you to apply for this position.

Engineering Manager - Machine Learning Team

Full-time | Graz, Österreich | Job-ID: b95f0e1f-2fe6-46fd-9ad3-75752a36e228

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About blackshark.ai 
blackshark.ai is at the forefront of geospatial AI development, pushing the boundaries of what's possible in mapping and automated feature extraction. Our cutting-edge technology serves leading enterprise and public sector customers worldwide.  

We are empowering multiple industries and government branches to tackle some of the world’s most pressing problems by enabling them to extract insights from geospatial data to power their decision-making. We work with planet-scale datasets and partner with leading providers of satellite, aerial and drone-captured imagery. 

The Role 
We are seeking an exceptional Engineering Manager to lead our Machine Learning team. This is a unique opportunity to drive innovation in a fast-paced, high-impact environment.
 
Your Team 
You will lead a talented team of ML/computer vision engineers and GIS experts, supported by a flexible team of outsourced data labelers. 

Key Responsibilities

  • Collaborate closely with product management on roadmap planning and milestone estimation 
  • Mentor team members, conduct regular check-ins, and foster professional development 
  • Stay at the cutting edge of ML vision research, providing insights to team and stakeholders 
  • Create and drive the technical vision for the ML team, aligning with product and market strategies 
  • Lead ML system design and architecture decisions 
  • Perform code reviews and provide constructive feedback to team members 
  • Contribute hands-on to coding and ML development as needed 
  • Serve as the primary technical contact for ML product customers 
  • Prepare and review technical reports for internal and external consumption 

Qualifications - required

  • Ph.D. or equivalent experience in Machine Learning, Computer Vision, or related field 
  • Proven track record in academia, with published research in top-tier ML/CV conferences or journals 
  • Extensive engineering experience, demonstrating the ability to translate research into production-ready systems 
  • Strong leadership skills, with experience managing and mentoring technical teams, attracting and nurturing top technical talent 
  • Deep understanding of state-of-the-art ML and computer vision techniques 
  • Excellent communication skills, able to convey complex technical concepts to both technical and non-technical audiences 
  • Fluent in English (both written and spoken) 

Qualifications - preferred

  • Experience with geospatial data and technologies 
  • Familiarity with cloud computing platforms (AWS, Azure) 
  • Knowledge of MLOps and ML systems at scale 

Tech Stack

  • Languages: Python 
  • ML Frameworks: PyTorch, scikit-learn 
  • Computer Vision: OpenCV, PIL 
  • Geospatial: GDAL/OGR, RasterIO, Geopandas 
  • Cloud: AWS, Azure 
  • Containerization: Docker, Kubernetes 
  • Version Control: Git, GitLab 

Why join us?

  • Lead cutting-edge projects for top-tier enterprise customers across various industries 
  • Apply your expertise to solve real-world problems at a global scale 
  • Work with a dynamic team of passionate, talented colleagues from diverse backgrounds 
  • Competitive salary and benefits package 
  • Opportunity to shape the future of geospatial AI technology 
At blackshark.ai, we're committed to pushing the boundaries of what's possible in geospatial AI. If you're ready to lead a team at the forefront of this exciting field, we want to hear from you. 

Apply now and help us reshape the future of geospatial technology! 

The minimum salary is 78.000,--€ gross per year. The effective salary depends on qualification and experience and may be significantly higher!


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