> Markdown version of [/jobs/ext/3127527-senior-engineer-ai-platforms-remote](https://www.wearedevelopers.com/jobs/ext/3127527-senior-engineer-ai-platforms-remote). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Engineer - AI Platforms (Remote) - **Company:** Solicitante De Empleo - **Location:** Plasencia, Spain (Remote available) - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Artificial Neural Networks, Microsoft Azure, Cloud Computing, Data Cleansing, Python (Programming Language), Tensorflow, Systems Integration, Feature Engineering, Pytorch, AI Platforms, Machine Learning Operations - **Published:** September 28, 2026 - **Apply:** https://www.recruit.net/job/engineer-ai-platforms-jobs/7E9DF7878CF7FBE3 ## About the Role * Proficiency in machine learning frameworks such as TensorFlow or PyTorch. * Experience with Python and libraries for data analysis and AI development. * Knowledge of neural network architectures and model training techniques. * Familiarity with cloud platforms such as AWS, GCP, or Azure for AI model deployment. * Strong problem-solving skills and the ability to optimize models for real-world performance. ## Description We are hiring for one of our clients, seeking an AI Engineer to develop and deploy AI models. The role involves designing, testing, and integrating AI solutions to enhance product capabilities. Candidates will work on scalable AI systems that support real-world applications., * Design, build, and optimize AI models using machine learning frameworks such as TensorFlow or PyTorch. * Collaborate with cross-functional teams to integrate AI solutions into existing products and workflows. * Evaluate and improve model accuracy, performance, and scalability through rigorous testing and validation. * Implement best practices for data preprocessing, feature engineering, and model training. * Document technical specifications, model performance metrics, and deployment procedures.