Generative AI Developer

Aguascalientes, AGU, MX

Capgemini

A global leader in consulting, technology services and digital transformation, we offer an array of integrated services combining technology with deep sector expertise.

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RH: Raul García

Position: Generative AI Developer

Location: Aguascalientes, Mexico

Industry - Sector: MALS

What you’ll do?

  • Design and implement generative AI models using frameworks such as TensorFlow, PyTorch, or JAX.
  • Work with advanced machine learning techniques, including GANs, VAEs (Variational Autoencoders), and transformer-based models.
  • Stay up to date with the latest advancements in generative AI and apply cutting-edge research to develop innovative products.
  • Collaborate with other research teams to explore new applications and technologies within the field of AI.
  • Improve the efficiency and accuracy of generative models, implementing optimization techniques such as pruning, quantization, and knowledge distillation.
  • Ensure the scalability of models for deployment in production environments.
  • Work closely with software development teams, data scientists, and designers to integrate generative AI models into commercial applications and end-user products.
  • Contribute to the definition of model architecture and the end-to-end lifecycle of AI solutions.
  • Develop solutions to process and generate relevant outputs from large datasets using advanced data processing and machine learning techniques.
  • Ensure that data pipelines and models are efficient and capable of handling real-world datasets at scale.
  • Contribute to the development of generative AI-powered products such as content generation tools for text, images, video, music, or other multimedia.
  • Provide insights into the application of generative models for commercial use cases.
  • Implement rigorous testing strategies to ensure the robustness, reliability, and ethical considerations of generative models.
  • Evaluate model performance, identify limitations, and propose improvements.

What you’ll bring:

  • Proficiency in Python and familiarity with programming languages such as C++ or Java for optimization tasks.
  • Extensive experience with deep learning frameworks like TensorFlow, PyTorch, or JAX for developing and training generative models.
  • Expertise in designing and deploying Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and transformer-based models such as GPT, BERT, or similar architectures.
  • Strong knowledge of linear algebra, probability theory, statistics, and optimization techniques relevant to AI and machine learning.
  • Experience in handling large datasets, including preprocessing, augmentation, and cleaning data for AI models.
  • Familiarity with data pipeline tools like Apache Spark, Dask, or similar technologies for scalable data processing.
  • Knowledge of cloud platforms (AWS, Google Cloud, Azure) and experience in deploying machine learning models in cloud environments.
  • Strong software engineering skills, including version control (Git), collaborative workflows, and Agile methodologies.
  • Performance Tuning & Model Optimization:
  • Experience with model optimization techniques such as pruning, quantization, and distributed training for large-scale model deployment.
  • Understanding of the ethical considerations in AI development, including fairness, transparency, and bias mitigation techniques.

Soft skills:

Work Underpressure, Quality at work, Results Oriented

What can YOU expect in a career with Capgemini?

  • Working in a team environment, Consultants will focus on the analysis, design and development of technology-based solutions for Capgemini’s clients.
  • You will work alongside technical, functional and industry specialists to assist with the development, implementation and integration of innovative system solutions including methods, techniques and tools.
  • You will contribute to client satisfaction by providing timely and responsive value-added services and work products.
  • Capgemini offers a competitive compensation and benefits package.
  • Headquartered in Paris, France, Capgemini has a presence of more than 340 thousand professionals in Mexico distributed among 3 sites located in Mexico City, Monterrey and Aguascalientes. A deeply multicultural organization.
  • Capgemini has developed its own way of working, the Collaborative Business ExperienceTM, and draws on Rightshore, its worldwide delivery model.

You will love this job because

  • Capgemini focuses on giving each new hire a YOU-nique experience through our recruitment process and on-boarding program, as well as by helping you to build your own career and professional skills foundation.
  • Capgemini provides a collaborative environment that embodies and holds the following stated values close to heart: Honesty, Boldness, Trust, Freedom, Team Spirit, Modesty, and Fun.
  • Capgemini cultivates an atmosphere for development that enables YOU to be hands-on, planning for your growth, both horizontally and vertically.

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”

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Agile Architecture AWS Azure BERT Data pipelines Deep Learning Engineering GANs GCP Generative AI Generative modeling Git Google Cloud GPT Java JAX Linear algebra Machine Learning ML models Model deployment Pipelines Probability theory Python PyTorch Research Spark Statistics TensorFlow Testing

Perks/benefits: Career development Competitive pay

Region: North America
Country: Mexico

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