Python programozó diákmunka állások, munkák

• Architect complex data flow solutions, enabling transparent, versioned, and fully auditable computations
• Design the data layer by developing metadata and data lineage models fused by semantic graphs and numerical data

• Support the management of user permissions across multiple tools and systems including AWS IAM
• Help maintain and improve security tooling including endpoint protection solutions and infrastructure monitoring tools
• Assist with monitoring security alerts and investigating unusual events

• Ownership of data engineering features, architecture, and code quality
• Design, implementation, and maintenance of Databricks-based data pipelines and workflows
• Building and optimization of ETL/ELT processes using Apache Spark on Databricks

• You design, implement, and operate automated infrastructure and deployment pipelines supporting our software products in microbial identification.
• You support the full lifecycle of our systems, from infrastructure provisioning and configuration to deployment, monitoring, and continuous improvement.

• Ensure accuracy, reliability, performance, and compliance of AI models and systems across development, testing, deployment, operational use, and feature enhancement
• Develop and execute test plans and validation frameworks for AI products, ML solutions, LLM applications, and agentic systems

• Részvétel életmentő és életminőséget javító orvosi berendezések, dialízisgépek fejlesztésében
• Tesztstratégia kialakítása és folyamatos fejlesztése a termékvonal számára
• Tesztelési folyamatok, eszközök és módszertanok definiálása a vonatkozó szabványok figyelembevételével

Deploy, configure and operate TXOne Stellar, Malware Check Stations (MCS) and related OT endpoint security components across global manufacturing sites...

• You support the full life cycle of transactions, including due diligence, execution, and ongoing portfolio monitoring.
• You develop, maintain, and refine complex financial models covering secured non-performing loans and real estate portfolios.

• Managing and migrating ETL pipelines between various source systems
• Validating pipeline build success and output data quality
• Communicating with business stakeholders and SME's regarding their respective data domain
• Analysing and resolving blockers and issues with ETL pipelines and data discrepancies

• Design of evaluation framework for scalable LLM-as-a-judge pipelines
• Development of rubrics and curation of high-quality golden datasets
• Optimization of judge prompts for automated scoring
• Full-stack product development contribution
• Integration of automated evaluations into CI/CD pipelines

• Development and enhancement of T Cloud Public platform in a customer-oriented manner
• Solving complex problems in the daily operation of a hyper-scaler's cloud backend
• Hardware-oriented work at the console
• Development and operation of monitoring and quality assurance

• Operational reliability, performance and resilience of the Global Fabric NaaS platform
• Support and troubleshoot microservices, APIs and integrations across the NaaS ecosystem

• Supporting test preparation in our test lab
• Maintaining and structuring test documentation
• Executing tests, including defect logging and defect documentation
• Reviewing test reports, including recording and documenting relevant deviations
• Analyzing test results, including root cause analysis

Act as a key expert for SAP S/4HANA data migration projects, with particular focus on Material Master and Production Master (I.e., BOMs, Work Centers, Routings and Production Versions)....

• Support in all operational and strategic risk management and risk controlling tasks
• Participation in the timely preparation of monthly and quarterly reports within the framework of ICAAP
• Ad-hoc evaluations and data analyses

• Design, develop, and optimize scalable data pipelines for processing large-scale structured and unstructured data
• Ensure reliability, performance, and scalability of data systems
• Build solutions to handle real-time streaming data from multiple sources

• Manage day-to-day cash flows and ensure liquidity for operational and investment needs
• Prepare short-term liquidity forecasts in close collaboration with the investment team, including capital calls and distributions

• Architect scalable inference services, APIs, and backend components for model-driven and LLM-powered product features
• Productionize AI and ML workflows with strong MLOps practices
• Define and implement evaluation frameworks for model quality, system reliability, latency, and cost

• Design, build, and ship production retrieval systems
• Own vector store selection and operation including scalability, latency, reliability, cost, and multi-tenant design
• Build and operate indexing and refresh pipelines including chunking, embedding generation, backfills, deletes, and versioned indices

• Design and implement new market links and connectivity tools
• Improve and maintain existing high-load, low-latency C++ applications
• Actively reduce latency to optimize trading performance
• Ensure operational excellence and reliability of systems as they scale