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Lead a team to design, prototype, and deploy generative AI and NLP solutions (LLMs, chatbots) that solve real healthcare business problems, bridging technical execution with strategic business goals.
Senior Data Scientist builds and deploys GenAI/LLMs and advanced analytics solutions for business impact, focusing on production-grade RAG, evaluation, and governance in a fintech context.
Build and validate ML models for time-series forecasting and analytics, collaborating with engineers to ship production-ready AI solutions.
Design and build production-grade AI systems using generative models, RAG, and cloud platforms (Azure/AWS/GCP) to solve real business problems with scalable, maintainable solutions.
La Fundación para el Desarrollo y la Innovación Tecnológica ( Funditec ) es un centro de investigación aplicada sin ánimo de lucro que promueve la innovación tecnológica como motor de competitividad y sostenibilidad.…
¡En Ayesa Digital crecemos Contigo! Cada profesional de nuestra empresa es importante para nosotros, nos ayudan a crecer de manera diversa y gracias a ellos somos más de 11.000 personas trabajando con el mismo objetivo…
Build and maintain scalable data pipelines, cloud data platforms, and analytics-ready datasets for a global food-industry project using ETL/ELT, Snowflake/Azure/AWS, and BI tools.
Designs and maintains scalable data pipelines and cloud infrastructure to ingest, process, and serve clean data for analytics and operations using Python, SQL, ETL tools, and cloud platforms.
We are looking for a DevOps Engineer with solid experience in CI/CD pipeline automation, cloud infrastructure management, and container orchestration. The ideal candidate will be proficient in Azure DevOps with Git…
Build and deploy AI/ML models for vision, audio, and language tasks using PyTorch/TensorFlow and cloud MLOps tools.
Build and deploy AI models on AWS, from prototyping to production, while collaborating with engineers and domain experts to solve complex problems.
Build and deliver transaction-monitoring solutions on the Quantexa platform, designing data pipelines, entity resolution, and analytics to meet AML/fraud use cases for a major bank.
Build and automate ML pipelines on Databricks, ensuring data/model observability, SLA/SLO compliance, and CI/CD for scalable AI services in a product-focused team.
Build GeoAI models and data pipelines to turn agronomic sensor data into predictive tools for fruit growers, using Python, FastAPI, MongoDB, PostgreSQL, and Kubernetes.
Build and scale the cloud infrastructure and MLOps pipeline for an AI platform that reconstructs vehicle damages and crash dynamics using AWS/GCP and GPU-ready workflows.
Build and own the cloud infrastructure (AWS/GCP) and MLOps foundations for an AI-powered insurtech startup that automates vehicle damage analysis and accident reconstruction.
A fast-growing fintech in Milan is looking for a Senior DevOps Engineer to take ownership of a cloud-native platform running on Google Cloud Platform, built on Kubernetes, Terraform and Flux CD. The challenge This is…
Lead end-to-end data and AI engineering for production-grade GenAI/ML solutions, from data architecture and MLOps to LLMs, RAG, and prompt engineering, in a global consultancy.
Senior AI & Data Science Architect designing and deploying scalable, secure AI solutions for a leading bank, leading modernization and MLOps initiatives.
Build and deploy ML/AI models (classical, deep learning, LLMs) with MLOps/LLMOps pipelines, focusing on production-grade solutions and API integration for enterprise use.
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