Python programme állások, munkák programozó, fejlesztő kategóriában

• Develop and evaluate computational models for organoid development, morphology, growth, and response to external stimuli
• Analyze multimodal biological data, including microscopy images, time-lapse recordings, and potentially molecular or experimental metadata

• Discussing and clarifying requirements with our internal domain experts
• Breaking requirements down into manageable work packages, estimating effort, and identifying technical dependencies
• Designing and developing algorithms that span and are optimized across various layers of our software stack

• Scout for and apply frontier research in AI, emerging sytem designs, architectural patterns, models, frameworks in prototypes and POCs
• Design and build rapid AI prototypes and MVPs in short, outcome-focused exploration cycles.

• Designing and delivering engineering solutions for our businesses and customers
• Enhancing our infrastructure capabilities and functions with new and fresh ideas
• Performing and improving QA and Test Automation frameworks

• Data ingestion processes from various sources into the Data Lake
• Design, development and optimization of complex data pipelines for reliable data flow
• Build, development and maintenance of frameworks facilitating construction of data pipelines

Programming & data analysis in Python: Contribute to the development and optimization of software solutions for automation and data processing. Support the analysis and interpretation of datasets to enable data-driven decision-making...

• Maintenance and enhancement of various Python scripts
• Development of modules for data collection from multiple sources, data processing, and storage in SQL databases
• Development of scripts and modules for data analysis and visualization

• Programming (mostly) in Golang (Kubernetes Operators, REST APIs, libraries and tools)
• Designing solutions providing new features for our customers
• Develop and operate highly scalable cloud solutions

• Programming (mostly) in Golang (Kubernetes Operators, REST APIs, libraries and tools)
• Designing solutions providing new features for our customers
• Develop and operate highly scalable cloud solutions

• Research study on state-of-the-art AI platforms and tools based on available commercial, open-source, in-house and academic field solutions
• Deep dive into our ASIC development process

• Contribute to pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Execute scientific experiments on internal as well as public data.

In this role, you will take part in designing and developing robust, scalable services and APIs, working primarily with technologies such as GO and Java. You will be responsible for building and evolving distributed systems, improving system performance, and ensuring reliability in production...

You will gain valuable expertise in automating and optimizing processes, along with practical experience in cross-functional projects, particularly in automation through image processing...

Build enterprise cloud infrastructure that provides European data sovereignty and hyperscaler-grade capabilities. You'll work on SAP Cloud Infrastructure, solving complex distributed systems challenges at scale: multi-region networking, container orchestration, observability, and the APIs that...

Build enterprise cloud infrastructure that provides European data sovereignty and hyperscaler-grade capabilities. You'll work on SAP Cloud Infrastructure, solving complex distributed systems challenges at scale: multi-region networking, container orchestration, storage systems, and the APIs that...

• Build agent loops and orchestration: tool use, structured outputs, business-rule enforcement, graceful failure
• Build the integration layer (via MCP) that lets agents securely call backend systems and business APIs
• Render model output into live, streamed, accessible UI via generative-UI protocols

• Build agent loops and orchestration: tool use, structured outputs, business-rule enforcement, graceful failure
• Build the integration layer (via MCP) that lets agents securely call backend systems and business APIs
• Render model output into live, streamed, accessible UI via generative-UI protocols