Dummy Engineer (9999)

GBG Plc; Ciudad de México; Presencial; MXN 800.000 - 1.200.000; Jornada completa

Descripción de la vacante

A leading technology company in Mexico City is seeking a Computer Vision and Machine Learning Engineer to research, develop, and implement ML models for innovative solutions. The role focuses on enhancing KYC verification processes through advanced algorithms and collaboration within a dynamic team. Candidates should possess a degree in Computer Science or a related field, along with skills in Python, C++, and deep learning frameworks.

Formación

• Bachelor's or higher in Computer Science, Electrical Engineering, or related field.
• Excellent communication and collaboration abilities.
• A strong work ethic and dedication.
• Familiarity with convolutional neural networks, recurrent neural networks, and transformer models.
• Knowledge and experience in Python and C++.
• Experience training deep learning models using Keras, PyTorch, JAX or TensorFlow.

Responsabilidades

• Research and develop product-critical computer vision and machine learning solutions.
• Implement and evaluate new algorithms in large-scale databases.
• Assist in computer vision projects through all phases.
• Work with scientific computation packages in Python and C++.
• Use deep-learning frameworks for model training.

Conocimientos

Communication skills

Collaboration abilities

Work ethic

Knowledge of Python

Knowledge of C++

Experience with deep learning frameworks

Educación

Bachelor's degree in Computer Science, Electrical Engineering, or related field

Herramientas

OpenCV

Keras

PyTorch

TensorFlow

Descripción del empleo

About GBG

Enabling safe and rewarding digital lives for genuine people, everywhere. Our mission to ensure more genuine people have digital access to opportunities, and businesses have access to more genuine people. Our technology draws on diverse and reliable data to create a single point of truth for identity and address verification.

With over 30 years of experience behind us our team and technology focus on enabling safe and rewarding digital lives for everyone.

About The Team And Role

CVML Team at GBG's Documents and Biometrics portfolio focuses on creating unique AI models for KYC verification. We drive development of cutting‑edge technologies for document verification and digital trust, collaborating across expertise under Agile methodology.

CVML Engineer

As a Computer Vision and Machine Learning Engineer, you will develop ML models, collaborate on CVML problems, and support model deployment and production monitoring.

What You Will Do

• Be involved in research and development to advance product‑critical computer vision and machine learning solutions.
• Implement and evaluate new algorithms in large‑scale databases to validate performance in throughput and accuracy.
• Assist in computer vision projects through planning, data collection, annotation, training, deployment, and iteration phases.
• Work with scientific computation packages in Python and C++.
• Use OpenCV, Keras, PyTorch, TensorFlow, or similar deep‑learning frameworks.

Skills We're Looking For

• Bachelor's or higher in Computer Science, Electrical Engineering, or related field.
• Excellent communication and collaboration abilities.
• A strong work ethic and dedication.
• Familiarity with convolutional neural networks, recurrent neural networks, and transformer models.
• Knowledge and experience in Python and C++.
• Experience training deep learning models using Keras, PyTorch, JAX or TensorFlow.

  To find out more

  As an equal‑opportunity employer, we are dedicated to creating a diverse and inclusive workplace. Please inform our Talent Attraction Partner if you require reasonable adjustments to the interview process. For benefits and more information, email [e-mail] or visit gbgplc.com/careers.

  Unleash your potential and be part of our mission to power safe and rewarding digital lives.