Python állások, munkák it programozás, fejlesztés területen

You architect cloud and hardware solutions to scale AI workloads across GPUs and accelerators, while optimizing storage and networking for throughput, resilience, and cost efficiency....

• Building AI-assisted development workflows
• Testing AI-assisted development workflows
• Maintaining AI-assisted development workflows
• Implementing workflow utilities
• Implementing prompt packs
• Implementing repository analysis scripts
• Implementing documentation helpers
• Implementing integration adapters

• Work the queue of open support tickets alongside a mentor
• Investigate and diagnose reported technical issues
• Search internal knowledge systems to find solutions before escalating
• Escalate complex cases to senior engineers with clear troubleshooting notes

• Implementation and improvement of business objects for mobile network infrastructure in backend systems up to the API layer
• Development and maintenance of business objects including data models, backend logic, and APIs

• Design and build secure infrastructure foundation for AI-assisted software development
• Operate Kubernetes environments hosting AI engineering tools and services
• Implement GitOps and Infrastructure as Code patterns for provisioning and configuration

• Development of mathematical models to describe cellular dynamics
• Implementation of the models in a suitable programming environment
• Simulation of cellular dynamics within complex 3D structures
• Application of the computer model as a virtual bridge between in vitro and in vivo studies

Drive End-to-End Robotics Deployment: As a Chief Expert Robotics, you will lead the technical implementation and architecture of advanced robotic systems by translating complex algorithms into reliable, production-ready hardware and software solutions....

• Build and maintain scalable cloud infrastructures using modern services and best practices
• Proactive detection, analysis, and fixing of vulnerabilities and performance bottlenecks in cloud environments

• Lead AI-assisted software engineering activities for Meridian
• Design repeatable SDLC patterns for analysis, validation, documentation, and evolution of complex cloud software stacks

• Oracle, Microsoft SQL Server és PostgreSQL adatbázisok napi üzemeltetése és felügyelete Linux és Windows Server platformon
• Mentések ellenőrzése, visszaállítási feladatok és tesztek végrehajtása
• Felhasználó és jogosultságkezelés, adatbázis objektumok kezelése

• Design, develop, and maintain applications.
• Optimize and enhance existing applications and infrastructure.
• Ability/interest to work with machine learning.
• Collaborate and communicate with various teams within the company.
• Ensure all applications reflect our internal policies and standards.

• Design and implement modern data architectures and lakehouse solutions
• Provide technical leadership throughout the project lifecycle
• Collaborate with business stakeholders
• Create effort estimations
• Provide technical expertise during the pre-sales phase
• Mentor 3-6 person project teams

• Develop native Swift/iOS applications
• Design user interfaces and functions as planned
• Participation in requirements gathering, project and technical planning
• Writing Unit and UI tests
• Participation in developer testing
• Continuous learning

• Developing software for controlling and configuring a large camera system consisting of multiple units
• Developing a system for receiving detector data at high speed on a set of data acquisition PCs, in collaboration with experts in hardware acceleration

Advise business units and senior stakeholders on AI opportunities, strategic priorities, target operating models, and the practical implications of emerging AI technologies...

• Create and implement test strategies and concepts for all test levels in embedded, cloud, mobile and web applications
• Improve our development and testing processes, methods and tools, and support the development teams
• Plan, set up and maintain test environments and automation frameworks

• 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

• CI/CD pipeline stability ownership across MFT and MFT Enterprise
• Kubernetes-based on-premise deployment environment building and baselining for MFT Enterprise
• Single-resource dependency reduction on infrastructure
• Infrastructure-related escalations ownership and resolution

• Monitoring platform and resolving issues reported by monitoring application
• Maintaining availability, integrity and confidentiality of security platforms
• Upgrading, remediating and patching underlying operating systems including Windows, Linux, ESXi, firewalls

• Design, develop, and implement complex, scalable Lakehouse solutions on the Databricks platform across major cloud environments (Azure, AWS, or GCP)
• Design, build, and optimize modular data pipelines using Delta Lake to ensure data efficiency, reliability, and quality