Senior ML Engineer — Vision, Production | Flexible Hours

Incode Technologies; España; Presencial; EUR 85.000 - 120.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible Working Hours

Open Vacation Policy

Descripción de la vacante

Incode Technologies is seeking a Senior Machine Learning Engineer to design, build, and deploy cutting-edge deep learning models for identity verification. You will work on facial recognition, liveness, document processing, and ID validation, collaborating with research and product teams to deliver scalable, cost-efficient solutions.

The role requires 5+ years in ML/DL/CV, strong Python, and hands-on experience with PyTorch or TensorFlow.

Formación

• 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.
• Demonstrated experience deploying and optimizing models for production (including edge AI).
• Specialized expertise in end-to-end ML pipelines and scalable architectures.
• Strong research background or publications in deep learning and computer vision.
• Excellent communication and collaboration across cross-functional teams.
• Passion for mentoring and thriving in research plus rapid iteration cycles.

Responsabilidades

• Design, build, and deploy deep learning models powering Incode’s identity tech.
• Develop production-ready ML pipelines ensuring performance and cost efficiency.
• Stay at the forefront of ML research and translate discoveries into production.

Conocimientos

Machine Learning

Deep Learning

Computer Vision

Python

PyTorch

TensorFlow

End-to-End ML Pipelines

Research Contributions

Communication Skills

Mentoring

Herramientas

PyTorch

TensorFlow

Descripción del empleo

Incode Technologies is seeking a Senior Machine Learning Engineer to design, build, and deploy cutting-edge deep learning models for identity verification. You will work on facial recognition, liveness, document processing, and ID validation, collaborating with research and product teams to deliver scalable, cost-efficient solutions.

The role requires 5+ years in ML/DL/CV, strong Python, and hands-on experience with PyTorch or TensorFlow.