Machine Learning Engineer

Capgemini; A distancia; MXN 1,412,000 - 2,119,000; Jornada completa

Descripción de la vacante

A leading global technology consulting firm is seeking a Machine Learning Engineer with expertise in Generative AI and Natural Language Processing (NLP). This remote position requires over 5 years of experience in BigData roles and proficiency in creating data pipelines. Key responsibilities include developing scalable machine learning models and collaborating with cross-functional teams. The ideal candidate will have a strong background in Python and cloud platforms like GCP or Azure.

Formación

• 5+ years of experience in BigData roles, focusing on machine learning and AI.
• Strong knowledge in building data pipelines and ETL/ELT workflows.
• Proficient in Python programming and familiar with AI frameworks.

Responsabilidades

• Develop machine learning models with emphasis on Generative AI and NLP.
• Design and implement data pipelines in cloud-based environments.
• Collaborate with teams to translate business needs into technical solutions.
• Analyze data to identify trends and patterns.
• Stay updated on advancements in AI, NLP, and cloud tech.

Conocimientos

BigData roles

Machine Learning

Data pipelines

Python scripting

NLP techniques

Cloud platforms (GCP or Azure)

MLOps basics

Advanced English

Herramientas

PyTorch

TensorFlow

Keras

Descripción del empleo

About Capgemini Group

Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 300,000 team members in nearly 50 countries. With its strong 50-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms.

Requirements

• 5+YOE in BigData roles, Machine Learning, data models, Generative AI
• Strong knowledge in Data pipelines and ETL/ELT workflows
• Experience in scripting with Python + AI frameworks (PyTorch, TensorFlow, Keras)
• NLP techniques and transformer-based models
• Cloud platforms (GCP or Azure) for scalable ML
• MLOps basics (CI/CD, model deployment)
• Advanced English Level
• This position can be working 100% remote

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.