Job Duties: The idóneo candidate will have a deep understanding of the theoretical foundations of generative Al, as well as the practical skills necessary to develop and deploy generative Al models. Develop compute infrastructure to support cloud-based generative models like GANs, VAEs, and diffusion models for automotive applications Develop simulations leveraging generative models to synthesize sensor data, scenarios, and other driving environments Establish testing frameworks to validate model robustness, safety, and performance Collaborate across teams to identify use cases for generative Al that improve autonomous driving capabilities Develop and deploy generative Al models for image generation, text generation, or music generation. Develop new methods for training generative Al models on large datasets. Develop new ways to deploy generative Al models in production. Collaborate with researchers and engineers to advance the state of the art in generative Al. Bachelor's degree in Computer Science or related field or equivalent experience.



Al systems Expertise in training and deploying large generative models like DALL-E, GPT-3, etc. Proficiency with Python and TensorFlow or PyTorch, or related libraries Strong software engineering skills and knowledge of model optimization techniques Ability to solve complex problems through novel applications of generative Al Theoretical foundations of generative Al, including probability theory, statistics, and machine learning. Develop and deploy generative Al models, including deep learning frameworks, large-scale data processing and analysis, and programming skills in Python or a similar language. Work independently and as part of a team and communicate effectively with both technical and non-technical audiences. Work on cutting-edge research projects in generative Al, and make a real impact on the field of artificial intelligence. Passion for advancing safe autonomous vehicle technology. LI-LATAM

📌 Ai/Ml Engineer (Guadalajara)
🏢 Ntt Data
📍 Guadalajara