Computer Vision / Machine Learning Engineer (3908)

GBG Plc; Ciudad de México; On-site; MXN 716,717 - 1,075,076; Full time

Job summary

A technology company in Mexico City is seeking a Computer Vision and Machine Learning Engineer to develop cutting-edge machine learning solutions. You will work with a collaborative team using frameworks such as Keras and PyTorch to enhance document verification and trust. The ideal candidate will possess a degree in Computer Science or a related field, show strong communication skills, and have expertise in Python and C++. This role is pivotal to advancing the company’s mission of providing secure digital identities.

Qualifications

• Bachelor's degree in Computer Science or related field.
• Excellent communication and collaboration.
• Familiarity with deep learning frameworks.

Responsibilities

• Develop Machine Learning models for computer vision.
• Collaborate with the CVML team on problem-solving.
• Assist in data collection and model training.

Skills

Communication

Collaboration

Dedication

Convolutional Neural Networks

Recurrent Neural Networks

Transformers

Python

C++

Education

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

Tools

Keras

PyTorch

TensorFlow

OpenCV

Job description

Enabling safe and rewarding digital lives for genuine people, everywhere

We make it 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 are focused on enabling safe and rewarding digital lives for everyone. Regardless of age, location or background, genuine people everywhere should be able to digitally prove who they are and where they live.

About the team and role

CVML Team

At the heart of GBG's Documents and Biometrics portfolio, our team focuses on creating unique and powerful artificial intelligence models. These models are designed to revolutionize KYC verification for our customers. We drive the development of these cutting‑edge technologies, aiming to provide unparalleled solutions for document verification and digital trust. Collaboration is our cornerstone as we bring together diverse expertise to achieve collective success. Guided by Agile methodology, our daily operations focus on efficiency through automation.

As a Computer Vision and Machine Learning (CVML) Engineer, you will be responsible for developing Machine Learning (ML) models. You will collaborate with the CVML team on solving problems and contribute toward an Agile process, as well as, supporting the CVML model deployment and production monitoring processes.

What you will do

• Be Involved in research and development efforts to advance product‑critical computer vision and machine learning solutions.
• Implement and evaluate the newly developed algorithms in large‑scale databases to validate the performance in both throughput and accuracy.
• Assist in computer vision projects through the planning, data collection, annotation, training, deployment, and iteration phases.
• You will be working with scientific computation packages in Python and C++ languages.
• You will be working with 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 in 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 where everyone feels valued and empowered. Please inform your GBG Talent Attraction Partner if you require any reasonable adjustments to the interview process.

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