Phd hands car javascript jquery állások XII. kerületben (it programozás, fejlesztés)

• Supporting the development, implementation, maintenance, and support of HR systems including HRIS, Learning Management System, Timekeeping, and Payroll
• Implementing HR technology policies, processes, and solutions aligned with business goals

• Experience in different Data Science topics
• Delivery of Data Science projects with e2e product-oriented mindset
• Engagement with clients to understand business objectives and translate into technical requirements
• Leading pre-sales technical discussions

• Understanding and aligning with business needs and identifying related data requirements
• Participating in technical pre-sales activities including effort estimation and proposal creation
• Architecting and planning robust data models and modern data platforms

• Design, implement, and optimize compiler passes and transformations using LLVM/Clang or GCC
• Build and maintain robust toolchains
• Support new and complex architectures in compiler backends
• Work on architecture-agnostic and IR-level optimizations
• Work on silicon specific optimizations

• Design and propose changes to current data systems including migration paths and modernization strategies for legacy architectures
• Define and evolve the target architecture for data platforms covering ingestion, storage, processing, and consumption layers

• Design and own end-to-end solution architecture across distributed systems and cloud environments
• Translate business requirements into scalable technical solutions with clear articulation of trade-offs

• Build and maintain simulation environments for mobile robotic perception and navigation
• Develop and integrate robotic behaviours and learning pipelines for reinforcement learning and motion planning in complex outdoor environments

• Setup and maintenance of IT cloud infrastructure for multiple products
• Setup and maintenance of the automated build/deployment jobs
• Maintenance of various support tools and utilities such as logs, monitoring, gathering user feedback
• Monitoring application performance and resource planning

• Ownership of data engineering features, architecture, and code quality
• Design, implementation, and maintenance of Databricks-based data pipelines and workflows
• Building and optimization of ETL/ELT processes using Apache Spark on Databricks

• Building and optimizing inference pipelines for large-scale model serving
• Working with frameworks like PyTorch, TensorRT, and vLLM to deploy models efficiently
• Implementing and optimizing ML models using techniques such as quantization, kernel fusion, and efficient batching

• Operational coordination and management of a flight software team
• Close coordination with the Project Manager on all relevant projects
• Building and maintaining a backlog based on the required project work
• Managing daily tasks across multiple engineers

• 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

• Design, development, and deployment of robust development tools and scalable infrastructure
• Collaboration between stakeholders and engineering team for translating business requirements into technical specifications
• Automation of manual processes and optimization of CI/CD pipelines

• Design enterprise Data & AI strategies that use Data & Generative AI to drive real business growth
• Translate complex business needs into clear AI solutions that deliver value
• Act as a trusted advisor to C-level leaders on AI adoption, regulations, and ROI

• Develop native Android applications
• Design user interfaces and functions as planned
• Participation in the definition of requirements
• Estimation of tasks
• Write Unit and UI tests
• Participation in developer testing
• Stay up-to-date with current technology trends in Android development

• Native Swift/iOS application development
• User interface and function design as planned
• Requirements gathering participation
• Project and technical planning participation
• Unit and UI test writing
• Developer testing participation
• Continuous learning

• Design, build, and maintain large-scale distributed data systems
• Develop data processing pipelines using technologies such as Spark and streaming solutions
• Work on systems that evaluate and ensure the quality and integrity of large-scale knowledge graphs

A Hivatal működése céljából költséghatékony és az igényekre szabott alkalmazások fejlesztése, a hatályos jogszabályok és belső szabályzatok mentén....

Conduct tasks related to applications development, establish, and implement new or revised applications systems and programs to meet specific business needs....

• Webes és szerveroldali alkalmazások fejlesztése modern technológiákkal.
• Adatbázisok tervezése, implementálása és optimalizálása.
• API-k és mikroszolgáltatások tervezése, fejlesztése és dokumentálása.
• CI/CD folyamatok és fejlesztési pipeline-ok kialakítása és fenntartása.