Senior software engineer ai python állás, munka

• A Data Science & Analytics üzletágunk projektjeiben, fejlesztéseiben részvétel változatos iparágakban
• Önálló statisztikai elemzési és modellezési feladatok megoldása (tervezés, becslés, fejlesztés, tesztelés, dokumentáció)

• A Gold Standard Diagnostics üzletág tagjai által használt megoldások és alkalmazások támogatása
• Helyszíni IT támogatás nyújtása a budapesti gyártó leányvállalat számára
• Kapcsolattartás, együttműködés az üzleti és meglévő projektcsapatokkal új alkalmazások/megoldások kapcsán

• Microsoft 365 szolgáltatások bevezetése, migrációja a vállalati ügyfelek számára
• Ügyféligények szakmai támogatása
• Kis mértékben L2-L3 informatikai támogatás biztosítása
• Tudásmegosztási feladatok csapaton belül és egyéb workshopok formájában

• Analysis of business needs and proposal of high value-added solutions
• Establish technical specifications and division of technical tasks
• Software development within the team based on skills/affinities
• Managing integrations, gathering business feedback, and making the necessary adjustments

• Design, implement, and continuously improve an existing C++ service-oriented application built on Azure IoT
• Maintain high software quality standards through comprehensive unit and integration testing
• Develop and extend Python-based integration tests to automate end-to-end system testing

• As an experienced software developer you create smart and efficient software solutions for network communication (LAN, WLAN, WAN).
• You develop concepts and contribute to specify the software architecture with a focus on network performance and Software-Defined-Networking (SDN).

• Developing software solutions for the control and analysis of high-precision optical systems (e.g., cameras, light sources, optical sensors)
• Implementing image processing and measurement algorithms to optimize optical measurement and analysis tools

Running a lot of builds and tests on a lot of architectures, operating systems, and devices. Collecting a lot of data and working collaboratively to brainstorm and build infrastructure and tools to make sense of it all. Building relationships that allow us to work together as a team, not a group....

• You gather and analyze user and system requirements to define clear product needs.
• You document detailed and actionable specifications that guide development teams.
• You facilitate communication and collaboration between cross-functional teams to align technical solutions with stakeholder expectations.

• You gather and analyze user and system requirements to define clear product needs.
• You document detailed and actionable specifications that guide development teams.
• You facilitate communication and collaboration between cross-functional teams to align technical solutions with stakeholder expectations.

Lead a team of 2-3 AI and cloud engineers focused on fast prototyping of AI/ML solutions in AWS cloud. Provide mentoring and technical support to junior and medium teammates. Act as a trusted advisor to clients. Develop highly scalable services realizing AI/ML functionalities (e.g. NLP, ML and AI...

• You continuously develop our frontend framework.
• With your commitment, you will shape the conception, implementation and testing of the basis of our online shop.
• You contribute to guidelines and best practices for our front-end development and share them with the team.

Contribute to the successful delivery of client engagements in banking strategy and innovation Work on creating long-term strategies and finding new growth opportunities for clients Build digital businesses and transform operating models Analyze innovative solutions and companies Create financial...

Design, develop, and maintain components of the deployment stack and software kernels for AI compute platforms Optimize and implement core ML operators (e.g., GEMMs, convolutions, BLAS routines, SIMD kernels) Translate computational graphs from ML frameworks onto the underlying hardware Contribute...

• Architect and implement scalable data pipelines, models, and services using Azure Databricks, Azure Data Factory, Azure Foundry, and ADLS
• Establish and enforce standards for ingestion, transformation, governance, and storage across the Common Data Platform (CDP)