machine learning engineer

Incode is a provider of identity solutions that enables organizations to authenticate and verify identities online to foster digital trust. The platform utilizes AI to assist banks, fintechs, marketplaces, and governments in delivering secure, friction-free experiences while mitigating fraud and protecting privacy.

• Develop and refine state-of-the-art deep learning models for computer vision applications such as facial recognition, liveness detection, and document processing;
• Architect and maintain scalable, efficient ML pipelines;
• Ensure production-readiness and cost efficiency of deployed models;
• Experiment with emerging architectures and algorithms and translate research into production-grade solutions;
• Drive improvements in model performance through robust data preprocessing, cleaning, and analysis workflows;
• Partner with research, product, and engineering teams to integrate ML solutions into production environments;
• Provide technical guidance, share best practices, and contribute to building a culture of innovation.

• 5+ Years of industrial experience in Machine Learning, Deep Learning, or Computer Vision;
• Expertise in Python and deep learning frameworks such as PyTorch or TensorFlow;
• Experience developing, deploying, and optimizing models for performance and cost efficiency in production environments, including edge AI;
• Specialized expertise in at least one area: Facial Recognition, Liveness Detection, Document Processing, or ID Verification;
• Proven ability to design and maintain end-to-end ML pipelines;
• Track record of research contributions or publications in deep learning and computer vision;
• Excellent communication and collaboration skills;
• Nice to have: Passion for mentoring talent, builder mindset, strong analytical thinking.

• Flexible working hours and workplace;
• Open vacation policy.