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Konkurs je istekao.

Machine Learning Engineer

Incode Advanced Technologies d.o.o.

Remote or Belgrade office


ugovor puno radno vreme


Incode is the leading provider of world-class identity solutions that is reinventing the way humans authenticate and verify their identities online to power a world of digital trust.

Through our revolutionary identity solutions, we are unleashing the business potential of universal industries including finance, government, retail, hospitality, gaming and more, by reducing fraud and transforming human interactions with data, products, and services.

We’re in the process of rapidly scaling our diverse global team and we’re looking for entrepreneurial individuals and leaders who are curious, driven, and excited by ownership to join a Unicorn-status scale-up!

The Opportunity 

Incode is searching for driven, self-starter Mid/Sr Machine Learning engineers to join our team in Serbia (Belgrade).

We're dedicated to crafting top-tier solutions for document analysis, risk assessment, and face liveness. As part of our team, you'll be pivotal in shaping and implementing cutting-edge machine learning components, spanning development and infrastructure domains. You'll also Implement face liveness detection algorithms and develop solutions to ensure the integrity of biometric authentication systems, enhancing security and usability. Join us in a dynamic environment alongside seasoned, industrious professionals, fostering a culture of collaboration and innovation.

Major responsibilities: 

  • Develop innovative ML solutions for challenging business problems that are fundamental for Incode  
  • Partner with product teams to analyze key business problems  
  • Collaborate with data science and engineering teams to integrate and validate computer vision solutions end-to-end  
  • Deliver enduring value in terms of software and modeling artifacts


  • At least three years of experience in Deep Learning and Computer vision  
  • Worked on comprehensive industry-level projects  
  • Fluency in Python  
  • Comprehensive knowledge in PyTorch or Tensorflow  
  • Creativity and curiosity for solving highly complex problems  
  • Fluent in English

Desirable skills / Qualifications (Not a must): 

  • Experience in face recognition and anti-spoofing, facial expression analysis, 3D face modeling or reconstruction, and background analysis (removal, classification).
  • Experience in applying machine learning & computer vision to resource constrained devices
  • Experience with Transformers, LVMs, LLMs, multimodal models on a research and production level
  • Papers in top-tier journals in Computer vision and Deep learning (CVPR, ICLR, NeurIPS, etc.) 

8 Aspects of our Culture:

  • Values are what we value
  • High performance
  • Freedom & responsibility
  • Context, not control
  • Highly aligned, loosely coupled
  • Continuous Feedback
  • Pay Top of Market
  • Promotions & Development

Benefits and perks:

  • Meaningful Equity
  • Flexible Working Hours & Workplace
  • Open Vacation Policy
  • Wellness Program
  • International Travel Opportunities
  • Additional benefit package according to location. 

Equal Opportunities:

Incode is an equal opportunity employer, committed to creating a diverse and inclusive work environment. We take great pride in having an inclusive, diverse, and global team and are always on the lookout for talented, passionate people from all backgrounds and walks of life.

Applicant Data Privacy:

We will only use your personal information in connection with Incode’s application, recruitment, and hiring processes.

    Konkurs je istekao.

    Incode d.o.o.

    Who are we? We are a leading identity company that is reinventing the way humans verify their identity and interact with the world’s largest Banks, Fintechs, Marketplaces and Hotels with a highly secure and delightful AI based experience. Headquartered in San Francisco, the company operates globally with additional offices in Mexico City and Belgrade. Incode is growing exponentially, and this is only the beginning. We raised an additional $220M in equity, bringing the company to unicorn status with…

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