E learning állások VII. kerületben (it programozás, fejlesztés)

• Turning data science and AI experiments into production-ready, scalable solutions
• Developing and deploying Generative AI solutions including LLMs and Diffusion Models
• Designing and implementing data models and flows including ETL, embedding models and vector databases

• Client-facing communication
• Participation in pre-sales discussions
• Collaboration with sales and customer success teams
• Communication with clients' technical teams
• Solution design and delivery
• Design and configuration of data labeling and processing pipelines using Python-based tools

• AI és adatvezérelt megoldások bevezetésének, működtetésének és fejlesztésének támogatása
• AI/ML use case-ek, PoC-k és projektek szakmai koordinációja az üzleti és IT területekkel együttműködve
• Üzleti igények felmérése, technológiai lehetőségek azonosítása és a megvalósítás koordinálása

• Support project charter preparation during the quotation phase through handover to the execution team.
• Provide technical bid support, including requesting quotations from internal and external suppliers.

• Develop and implement new features for RTOS-based and bare-metal systems, including drivers and system-level services.
• Participate throughout the full development lifecycle, from concept to production, including R&D, certification, and production handover.

• Lead the design and development of Power BI reporting and analytics solutions for enterprise clients,
• Facilitate workshops and meetings with business stakeholders to understand reporting and analytical requirements,
• Translate business needs into functional and technical specifications,

• Adat töltések fejlesztése
• Mesterséges intelligencia modellek fejlesztésében részvétel
• Alkalmazás fejlesztésekben részvétel

Assess and document downstream impact of Skills and Job Architecture data quality issues across payroll processing, management reporting, third-party integrations, and AI/machine learning model inputs...

• Definition of end-to-end scalable, resilient and efficient architectures for advanced AI systems
• Collaboration with delivery teams to translate architectural designs into work items
• Identification and resolution of architectural challenges during project execution

Collaborate with stakeholders to understand the customer needs and with IT management to shape the strategical directions based on internal requirements and market insights (covering problem analysis, diagnosis collection, research, assessment of business operations,...

• Owning net-new pipeline and revenue across the service lines
• Running and sharpening the outbound engine
• Managing and developing an SDR
• Refining sequences and account-based plays
• Keeping the tooling stack tuned with an external GTM partner
• Setting the bar for activity and conversion

• Owning a revenue target across data, advanced analytics, and predictive AI
• Leading executive-level client conversations, joining deals early to diagnose the business problem, structure a solution, and build the ROI case that gets the client to sign

• Build-from-zero applications powered by the HawkAI Engine
• Bridge machine learning models and real-time data pipelines into APIs and user interfaces
• Integrate AI-assisted development tools into software architecture and data integrity workflows

• Design, develop, review, and test features and user stories following Agile development practices
• Contribution to core platform development and integration projects across multiple systems
• Shaping the future architecture of the product including designing scalable backend services and prototypes

• taking part in large IT projects as a subject matter expert, depending on your previous experience (e.g. architecture design, IT system and IT landscape reviews, vendor selection, quality assurance)
• analyzing clients’ IT environments, applications, and architecture landscapes

• Development of high-availability, high-prestige enterprise portals and applications
• Participation in system integration projects in both international and domestic markets
• Use of the following technology stack: Java 17+, Spring Boot, J2EE, SQL, Maven, REST, JSON

• Contribute to MDM strategy development
• Contribute to IT projects, developments to ensure the satisfaction of stakeholders
• Lead the professional execution of solution design, implementation and unit testing activities
• Participate in ERP related projects as Developer

• Writing and maintaining clean, high-quality, efficient and well tested code aligning with project specifications
• Architecting and implementing key abstractions bridging the gap between Software Engineering and DevOps
• Proactively identifying pain points in the platform and proposing elegant solutions

• Frontline contact for customers in need of support
• Education of customers on the product, usage, and features
• Diagnosis, troubleshooting, and resolution of technical issues
• Escalation and follow-up of complex cases with key collaborators

• Development of the Tulip OS
• Maintenance and support of bootloader, kernel, and userspace development for Tulip Hardware
• Identification of key features and product performance
• Contribution to strategic planning
• Maintenance of the Tulip Operating System including building, packaging, and support