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An IT Data Scientist is a master professional who is fully responsible for advising the appropriate use and application of data science methods as well as overseeing the development and implementation of data science…
Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the…
Build and automate ML pipelines on Google Cloud using Vertex AI, TensorFlow, and Kubernetes to deploy scalable AI models with CI/CD and monitoring.
Build and deploy ML models, analyze data, and create BI dashboards to drive business decisions using Python/R, SQL, and tools like TensorFlow and Power BI.
Builds and deploys forecasting models (sales, returns, inventory) for retail using Python, SQL, Databricks, and MLflow, with a focus on model interpretability (SHAP/LIME) and end-to-end ML pipelines.
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.…
Build and maintain scalable data pipelines and cloud-based warehouses using Spark, Python, and AWS services like Glue, S3, and Athena to enable analytics and reporting.
Senior Learning Data Scientist building AI-driven analytics, predictive models, and dashboards to optimize training and certification programs using Python, TensorFlow, and Power BI.
Build and enhance AI/ML systems, including LLMs and GenAI, for a platform and client projects using Python, TensorFlow, and cloud tools.
Build, validate, and deploy ML/DL/GenAI models in production, design data pipelines, and partner with stakeholders to turn business needs into technical solutions.
Design and optimize AI models (RAG, Agentic AI) using Python and frameworks like TensorFlow/PyTorch, and deploy them on cloud platforms.
Build and deploy production-grade AI and GenAI solutions, integrating models into real-world systems using Python, TensorFlow/PyTorch, and cloud-native tools.
Build and deploy production-grade AI and Generative AI systems in Python, integrating LLMs and vector databases with cloud-native pipelines on AWS.
Leads MLOps-driven data platforms, deploys ML frameworks, and designs scalable ML architectures while coordinating data scientists.
Build, train, and deploy ML models in Python using TensorFlow/PyTorch to solve business problems and maintain production systems.
Leads AI agent design, testing, and deployment for a financial group, focusing on robust, safe workflows and LLM evaluation in Python and Azure.
Design and implement scalable data-science models (ML, optimization, simulation, generative/agentic AI) in cloud environments, then productionize them with engineering teams to drive business impact.
Build and deploy ML models and data pipelines to optimize ad-tech performance, collaborating with engineers and product teams using Python, SQL, and frameworks like TensorFlow.
Research and develop advanced computer vision and AI models for public safety and justice solutions, optimizing for performance and edge deployment.
Builds and deploys enterprise-grade GenAI full-stack solutions using React/Angular frontends, Python/Node.js backends, and cloud DevOps, integrating LLMs and document-processing pipelines for healthcare workflows.
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