Machine Learning Engineer...

Descripción larga

RH : Daniela Márquez

Location : any state of Mexico

General description

The ideal candidate will have a strong background in Natural Language Processing (NLP), Python and Cloud Technology. They will be responsible for developing and implementing advanced machine learning models, analyzing large datasets, and providing actionable insights to support our business objectives.

Responsabilities

Develop machine learning models with a focus on Generative AI and NLP.

Design and implement data pipelines and workflows in cloud environments.

Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.

Conduct data analysis and visualization to uncover trends and patterns.

Stay up to date with the latest advancements in AI, NLP, and cloud technologies.

Communicate findings and insights to both technical and non-technical stakeholders.

Good understanding of at least one major cloud platform, such as Google Cloud Platform (GCP) or Microsoft Azure, and the ability to leverage cloud resources for scalable and efficient NLP and deep learning applications.

Proficient hands-on expertise in AI programming languages and framework tools, including but not limited to Python, PyTorch, TensorFlow, and Keras, enabling the development of robust and high-performance NLP models.

Ability to design, implement, and optimize distributed and parallelized algorithms for NLP and deep learning tasks, ensuring efficient processing of large-scale data and model training.

En Capgemini México el objetivo es atraer al mejor talento y lograr un ambiente de trabajo diverso e inclusivo por lo que no se discrimina por motivo de raza, sexo, orientación sexual, identidad o expresión de género o cualquier otra característica propia de la persona. Todas las solicitudes son bienvenidas y serán consideradas para concurso con base en el mérito de la persona contra el trabajo y / o la experiencia para el puesto.At Capgemini Mexico, we aim to attract the best talent and are committed to creating a diverse and inclusive work environment, so there is no discrimination based on race, sex, sexual orientation, gender identity or expression, or any other characteristic of a person. All applications welcome and will be considered based on merit against the job and / or experience for the position.