Python állás, munka

• Being involved in the design process of a SoC by integrating the latest Arm IP products while ensuring correct functional behaviour
• Developing RTL code using System Verilog
• Running EDA tools to check the design and analyze results
• Using AI-assisted engineering tools to support development and debug

Contributing in SystemVerilog RTL verification and debug; formal bring-up of non-trivial IP blocks to achieve required quality levels (SystemVerilog/UVM, Formal, scripting)...

• Writing reusable, testable, and efficient code, mainly in Python
• Delivering great user experience by the development of great user interfaces
• Handling security and data protection professionally and precisely

• Designing and implementing data fabric architecture across heterogeneous data sources and platforms
• Developing scalable ETL/ELT pipelines for batch and real-time data integration
• Integrating structured and unstructured data from databases, APIs, SaaS applications, data lakes, and enterprise systems

• Working closely with customers to analyze business needs and translate them into technical requirements
• Participating in pre-sales discussions, helping shape tailored technical solutions
• Collaborating with Sales and Customer Success teams to ensure smooth project execution and client satisfaction

Writing production-quality, well-tested scraper code in Python that needs little rework after review, including comprehensive unit and integration tests written with minimal guidance...

• Owning the data models and storage architecture behind AI systems, across relational, graph, and retrieval-oriented data
• Building and operating the APIs, backend services, and pipelines that keep data current and accessible

Leading the design, development, and deployment of scalable, resilient, and high-performance components for the Wise Assistant, including core Java microservice consuming Kafka messages, and contributing to Typescript and Python codebases...

• Building, operating, and improving production data pipelines using Python, Airflow, Kubernetes, and related technologies
• Designing scalable data pipelines and data models for growing data volumes and processing needs

• Delivering software releases on schedule with defined scope and quality and transitioning to continuous delivery
• Ensuring reliable operation of the CI/CD pipelines and improving their efficiency
• Contributing to the test strategy and coordinating its execution

Embedding in the daily life of up to three engineering teams: Customer Platform (customer-facing applications, APIs, tenant management and provisioning) and Scoring (rules, scoring models and real-time decisioning)...

• A kutatás és fejlesztési projektek végigkövetése a tervezéstől az átadásig
• Beágyazott vezérlők programozása C nyelven
• Prototípus berendezések beüzemelése, tesztelése
• Gépész-, villamos- és mechatronikai mérnökökkel való együttműködés
• Dokumentáció írás angolul és magyarul
• Szoftver- és hardvertesztelés

• Developing and deploying AI-powered applications using modern software engineering practices
• Integrating Large Language Models (OpenAI, Azure OpenAI, Anthropic) into business solutions
• Building scalable backend services using Python or Node.js
• Developing intuitive user interfaces with React or Angular

• Designing and implementing modern data architectures and lakehouse solutions (Databricks, Snowflake, Azure, AWS)
• Providing technical leadership throughout the project lifecycle and collaborating with business stakeholders

• Delivering independently Data Science projects with an end-to-end product-oriented mindset
• Engaging directly with clients to understand their business objectives and translate them into technical requirements

• Developing native Swift/iOS applications
• Designing user interfaces and functions as planned
• Taking part in requirements gathering, project and technical planning
• Writing Unit and UI tests, participating in developer testing
• Continuous learning

• Active partnership with sales and project managers to estimate, design, develop and deliver solutions
• Continuous communication with domain experts and product owners to understand core business needs and goals to synthesize requirement and quality standards