Incode is seeking a Machine Learning Engineer to design and deploy advanced deep learning models for identity verification solutions. The ideal candidate will have extensive experience in machine learning, particularly in computer vision, and will thrive in a dynamic, innovative environment
Job Summary
As a Machine Learning Engineer at Incode, you’ll design, build, and deploy the deep learning models that power our most advanced technologies — from facial recognition and liveness detection to document processing and ID validation.
You’ll join a highly specialized engineering team working on solving complex, real-world challenges with cutting-edge ML architectures.
Your work will directly influence how people verify their identity safely, seamlessly, and securely around the world.
Matching Summary
Match Score: 85
Incode is seeking a Machine Learning Engineer to design and deploy advanced deep learning models for identity verification solutions. The ideal candidate will have extensive experience in machine learning, particularly in computer vision, and will thrive in a dynamic, innovative environment.
Skills & Requirements
Must-have
Deep learning models for computer vision
Facial recognition and liveness detection
Scalable ML pipelines
Python and PyTorch/TensorFlow
End-to-end ML pipelines
Nice-to-have
Entrepreneurial individuals
Curious and driven
Excited by ownership
Culture of innovation
Continuous learning
Key Requirements
5+ years of industrial experience
Expertise in Python and deep learning frameworks
Experience deploying models for performance and cost efficiency
Specialized expertise in 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