Streamlit Job in Austria

In this role, you develop Python applications to automate data-driven processes and implement machine learning use cases while closely collaborating with business departments in digital sales.

Development of Python applications for automating, centralizing, and scaling data-driven processes. Implementation of machine learning and AI use cases, from idea through proof of concept and MVP to stable production operation. Creation of evaluations...

In this role, you will develop backend APIs using FastAPI, create responsive frontend interfaces with React, and optimize our GraphRAG pipelines for efficient and user-friendly interaction with complex data.

In this role, you will develop data pipelines and implement AI solutions, automate ETL processes using tools like Azure Data Factory, and support cloud deployments on platforms like AWS or Azure.

In this role, you will develop AI-driven engineering tools in Python, integrate VSCode extensions and robust APIs, test agentic workflows, and enhance user experience with modern UIs.

In this role, you will develop scalable ETL pipelines, create interactive dashboards, and work on data products on Databricks while collaborating closely with various departments and ensuring data quality.

In this role, you analyze telemetry data from BLE devices, identify trends and anomalies, and develop BI reports and dashboards to enhance performance across various departments.

In this role, you will develop secure and user-friendly web interfaces for AI and analytics projects, collaborate closely with data scientists, and create reusable UI components and documentation.

In this role, you will develop AI-powered engineering tools using Python, create a VSCode extension, integrate robust APIs, and work on agentic workflows and user interfaces.

In this role, you design cloud-based data platforms, implement ETL/ELT pipelines, build dashboards, and optimize data quality while collaborating with Data Scientists and Analysts.

In this role you develop AI solutions in Python, integrate and optimize LLMs into existing software architectures, build Streamlit/FastAPI interfaces, test and containerize with Docker, and train users.

In this role, you will develop data-driven products on Databricks, design ETL/ELT pipelines, create interactive dashboards and optimize data processes in collaboration with data scientists and analysts.

In this role, you process and structure complex datasets to enable data-driven decisions. You automate ETL processes and create meaningful data visualizations for stakeholders.

In this role, you develop machine learning models to tackle complex challenges across various industries, leveraging cloud technologies for scalable applications and data analyses.