Python programmer állások, munkák középiskolai végzettséggel

• Exciting projects in the space industry
• Application- and hardware-related development
• Implementation of test procedures/automated scenarios including system integration
• Carrying out different test procedures
• Cooperation in system integration

• Design and maintain automated pipelines for legacy .NET deployments and modern containerized/Kubernetes workflows
• Automate provisioning and management of infrastructure using Terraform, Ansible, or Bicep

• Take ownershipof the pricing tool used by the commercial department
• Develop and optimize end-to-end pricing strategies, including algorithm development, implementation, and continuous performance monitoring

• You support an advanced development team in the design, prototyping, and testing of an innovative eye implant
• Prepare and conduct mechanical and functional tests using laboratory test equipment

• Active partnership with sales and project managers to estimate, design, develop and deliver solutions
• Continuous communication with domain experts and product owners to understand core business needs and goals to synthesize requirement and quality standards

• Combine your studies with hands-on experience as an intern or working student to support applied research and prototyping in medical soft-body simulation for six months or longer
• Implement and validate soft-tissue deformation models using real patient data to build and validate simulation pipelines.

• Own the end-to-end forecasting and price-elasticity models at the core of our pricing engine — from feature and model research through evaluation, deployment, and continuous monitoring
• Scale the forecasting architecture to meet growing demand for granular, product-level forecasts

• Own the end-to-end forecasting and price-elasticity models at the core of our pricing engine — from feature and model research through evaluation, deployment, and continuous monitoring
• Scale the forecasting architecture to meet growing demand for granular, product-level forecasts

• Architect Zero-Trust environments for LLM-based solutions
• Implement private networking (Private Link), granular RBAC (Entra ID), and automated policy enforcement
• Ensure compliance with enterprise security and audit standards
• Bridge Data Science and Engineering

• Skálázható cloud-native adatarchitektúrák tervezése Databricks vagy MS Fabric platformokra
• Adatmodellek, sémák és tárolási minták kialakítása (lakehouse, Delta, Parquet)
• Batch és streaming adatok betöltési pipeline-jainak megtervezése
• ETL/ELT folyamatok és transzformációs stratégia meghatározása

You independently manage the planning, execution, and optimization of our SEA campaigns across Google Ads and Microsoft Advertising, with a clear focus on CPA, ROAS, and CLTV...

• Support the development of GenAI applications using Python and frameworks such as LangChain or LangGraph.
• Help build and test RAG pipelines for document search, summarization, and question answering.

• Act as the primary analytical partner for stakeholders in Chartering, Finance, Fleet, or Operations, translating business needs into clearly scoped data solutions.
• Own the roadmap and prioritization of your portfolio of data products in alignment with business priorities.

• Komplex környezetek behatolásvizsgálati terveinek elkészítése
• Hardware penetrációs tesztelés
• Software penetrációs tesztelés
• Webes penetrációs tesztelés
• Api penetrációs tesztelés

• AI-alapú alkalmazások és szolgáltatások fejlesztése Pythonban
• Nagy nyelvi modellek (LLM) integrálása vállalati rendszerekbe
• API-k és újrafelhasználható komponensek építése az AI-megoldásokhoz
• RAG-megoldások és AI-agentek fejlesztése saját infrastruktúrán

• Training and fine-tuning models against curated datasets
• Running systematic hyperparameter and architecture experiments
• Building and maintaining evaluation suites
• Analyzing model failures and translating findings into dataset or training improvements

• Writing clean, maintainable Python code and automation scripts
• Building CI/CD pipelines and deployment automation for AI systems
• Creating infrastructure as code and configuration management solutions
• Developing APIs, microservices, and event-driven architectures

• Definition of strategic roadmap for enterprise database platforms
• Leadership of database modernization and cloud transformation initiatives
• Establishment of architecture standards, governance practices, and technology guidelines
• Design of highly available, secure, and scalable database solutions

• Technology architect with T Cloud Public hands-on experience
• Deep expertise in public cloud architecture
• Strong understanding of VPC networking
• Strong understanding of IAM & federation
• Strong understanding of cloud security architecture
• Strong understanding of Kubernetes & container platforms

• Technical leadership post-sales for strategic customers in big data project design and implementation
• Identification and driving of new initiatives to turn data into actionable business value aligned with business goals