Python developer állások, munkák it programozás, fejlesztés területen

• Building AI-powered automation for complex cloud engineering environments
• Combining platform engineering, software development and cloud expertise with modern Generative AI technologies to automate parts of the software development lifecycle

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....

• End-to-end penetration testing engagements across web applications, APIs, cloud environments, kubernets, binary applications and internal/external infrastructure
• Simulation of real-world attacks to identify security risks before they become threats

• Analysis of requirements and decomposition into logical segments for test case design
• Creation and maintenance of functional test cases
• Maintenance of test cases according to changing requirements
• Creation and maintenance of Vector VT system wiring diagrams and automated test scripts

• 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

• 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

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...

• Analyze quality, usage, and diagnostic data from customer vehicles in the field
• Identify product issues, usage challenges, and opportunities to improve the customer experience
• Gain insights from various data sources, including vehicle diagnostics, customer complaints, and user behavior data

• Own IAM strategy across Entra ID and Active Directory.
• Manage conditional access, PIM/PAM, and identity lifecycle governance.
• Develop identity-centric detections and threat-hunting workflows, analyzing Entra ID logs and privilege escalation paths in alignment with the SOC.

• Analyze current project, volume, and aggregate planning processes.
• Identify and evaluate existing data sources, interfaces, and planning methodologies.
• Research state-of-the-art approaches in forecasting, data analytics, machine learning, and artificial intelligence.

• Coordination of operations together with Data Center, IaaS and PaaS layers
• Coordination and support of network lifecycle activities including installs, upgrades, changes, and firmware updates
• Management of network interconnections and related documentation

• Development of advanced technical solutions for infrastructure and services expansion and operation
• Preparation of procedures for the complete life cycle of cloud-native based production environment of packet Core including 5G-SA

Design, train, and evaluate machine learning models for manufacturing use cases such as quality prediction, anomaly detection, predictive maintenance, and process optimisation, covering the full ML lifecycle from problem definition to performance tuning....

• 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

• 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

• Development of real time software for electronics systems including algorithm/pre-processing concepts and solutions according to agreed timeline, respecting required quality levels
• Modelling and simulating algorithm behavior
• Supporting component level software requirements analysis

• Create high-level distributed system architecture aligning with business requirements and technical constraints
• Provide technical guidance and leadership to development teams, ensuring that architectural standards and best practices are followed

• Work on potential AI and/or digital twin features for future medical devices 
• Design solutions for computer vision problems towards advanced biomedical visualisations 
• Evaluate and refine your approach on real-world data 

• Conducting a comprehensive literature review of state-of-the-art end-to-end autonomous driving approaches and uncertainty estimation methods
• Evaluating and selecting suitable uncertainty estimation techniques for integration into end-to-end autonomous driving systems

• Build use cases and configure security tools and technologies (e.g. SIEM, xDR) to detect security events and potential incidents
• Participate in Security Operations & alert monitoring: conducting incident assessments, determine impact and root causes, provide reports and recommendations