Python fejlesztő állások, munkák it programozás, fejlesztés területen

• Develop, maintain and optimize Python and Linux shell scripts for data extraction, transformation, and loading.
• Build automated pipelines and reusable code modules to support recurring reporting and analytics workloads.
• Ensure accuracy, completeness, and consistency of datasets.

Customer models, end to end. Turn a planning problem, with its capacities, costs, lead times and shift plans, into a model whose answer a plant manager acts on. That includes the data it runs on: ERP and Excel exports, and catching the numbers that cannot be right before the customer does....

Drive Architectural Strategy & Scalability: Partner across Data Science, Platform Engineering, and Product teams to design the technical architecture, data pipelines, and orchestration systems required for high-traffic AI services. Ensure the ecosystem supports highly available, low-latency...

• Új technológiák bevezetése
• Termékfejlesztési és szolgáltatási igények implementálása
• Rendszerintegrációk megvalósítása
• Rendszertervezés
• Tesztelés
• Dokumentálás
• Együttműködés solution architektekkel és rendszerszervezőkkel alkalmazás- és interfészfejlesztések terén
• Minőségbiztosítási feladatok támogatása

The mathematics behind the models. A model means exactly one thing, and it still means that after it reaches a solver. The algebra underneath is yours, and so is the call on what the engine should be able to express next and what it should refuse....

• You will integrate models that run on edge devices within the infotainment domain.
• Furthermore, you will prototype & build new GenAI experiences, turning ideas into reality as refined features that will be launched to our customers.

• Lead the technical lifecycle of ServiceNow and related governance platforms (IRM, Risk, Change, Incident, CMDB, Asset).
• Ensure configurations are secure, scalable, auditable, and aligned with regulatory standards.

• 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.

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...

• You design data pipelines for ingestion, curation, pseudonymization, and versioning.
• Furthermore, you implement reproducible training and finetuning builds for GenAI edge device models.
• You set up experiment tracking and artifact registries for model variants.

• Translate R&D business and user requirements into effective system, process, and automation solutions
• Design, implement, test, and continuously improve automated workflows, AI-augmented data flows and AI Agents
• Ensure stable data flows, high data quality, and reliable system operations

• Design and build AI-powered automation for software quality assurance, reducing manual testing effort over time
• Develop test and evaluation infrastructure for workflow, end-to-end, REST/gRPC API and contract testing, with CI/CD integration

• Responsibility for designing and implementing automated test software (e.g. WebApp, Embedded Systems/Linux/Azure-Cloud/AI)
• Developing and maintaining test frameworks and infrastructures to enable test automation for re-use in multiple target projects

Design, build, and maintain scalable data platforms and data & AI solutions tailored to business needs, including the development of governance structures and access control concepts...

• Tech Stack: Python (Django/FastAPI), PostgreSQL/TimescaleDB, Redis, Celery, Docker, AWS, GitLab CI/CD, Sentry, Grafana
• Your Focus: API design & architecture, backend integrations, data flows, system reliability and scalability

• 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

• Tervezés és üzemeltetés AI-ügynökök és automatizált delivery pipeline-ok infrastruktúráján OKD/OpenShift platformon
• LLM-alapú eszközök integrálása DevOps folyamatokba automatizált kódreview-k, tesztfuttatások és runbook-generálás kialakításával

Acting as a senior technical contributor within automated regression testing and sharing expertise with colleagues across the Test & Verification team....

• Contribute to pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Define the data, training, and experimentation environment to enable scalable access to data and compute.

• Technikai menedzsment és fejlesztés a csapat felhőalapú adatplatformján és adatmodellein Azure Databricks környezetben
• A Data-Driven Project Modelling (DPM) motor fejlesztése és karbantartása DevOps legjobb gyakorlatok szerint
• Üzleti logika adatmegoldássá történő átalakítása multinacionális csapatban