Python állások VI. kerületben (ai és automatizáció)

• Kapcsolattartás az ügyfelekkel, igények felmérése és tanácsadás
• Azure Function App fejlesztés
• Dokumentálás
• Programozás Pythonban
• Azure infrastruktúra tervezés és karbantartás
• Rendszeres ellenőrzés, frissítés és teljesítmény optimalizás Azure környezetben
• Fejlesztések tervezésében aktív részvétel

Developing and enhancing the MSCI Index Development Platform and the IndexMetrics Real-Time application using modern software engineering practices, Python, Azure, and AI-assisted development tools...

• Collaborating with architects, senior technologists, and business stakeholders to identify automation opportunities
• Designing, building, and maintaining internal tools, APIs, applications, dashboards, and AI-powered workflows

• Leading the EU TechOps team including recruiting, one-on-ones, performance evaluation, career development, and regional on-call coverage in coordination with the US team
• Providing technical leadership for Tulip's cloud and operational infrastructure in partnership with the US lead

Owning the deployment, health, and continuous improvement of Tulip's multi-cloud, multi-region SaaS environments across the US, Europe, and Asia...

• Collaborate with business stakeholders to identify opportunities and translate business challenges into actionable Data Science and AI use cases.
• Design, develop and evaluate machine learning models using statistical methods, supervised and unsupervised learning techniques.

• Kutatási, fejlesztési és termékfejlesztési feladatok önálló végrehajtása.
• Gépi tanulási modellek tervezése, megvalósítása és optimalizálása, mélytanulási módszerek alkalmazásával.
• Alapos irodalomkutatás, műszaki specifikációk összeállítása és részletes kutatási jelentések készítése.

• Building and maintaining simulation environments for mobile robotic perception and navigation
• Developing and integrating robotic behaviours and learning pipelines for reinforcement learning and motion planning in complex outdoor environments

• Contributing to projects for global clients in a market-leading, innovative environment
• Gaining hands-on experience with technologies used in real industrial automation solutions
• Receiving training and support from experienced colleagues
• Gradually taking on more responsibility

Implementing and maintaining large‑scale data pipelines and the Azure/Databricks data platform in close collaboration with the Architect, contributing to design discussions and proposals...

• Designing and developing GIS-based solutions, web applications, dashboards, and reporting solutions using Esri technologies
• Analyzing existing GIS processes and optimizing them with a focus on scalability, data quality, and operational efficiency

• Working on complex and extremely varied data sets from some of the world’s largest organizations to solve real-world problems
• Developing high-quality data science products and solutions for clients as well as assets for internal data teams, focusing on modeling

• Partnering with engineering teams to automate & optimize service availability, scalability, performance, monitoring, and alerting
• Developing software to automate the toil required to keep SaaS offerings highly available, scalable, and resilient, while delivering quickly

• Owning the design, development, and optimization of core ML models, especially in Computer Vision and Deep Learning
• Leading the development of efficient, scalable training and inference pipelines
• Mentoring junior ML engineers, reviewing code and sharing best practices

Shaping AWS architectures and technical decisions for web applications, SaaS platforms and enterprise environments, balancing reliability, security, maintainability and cost...

• Build and maintain Azure Databricks solutions
• Develop scalable ETL/ELT pipelines
• Implement and optimize Lakehouse solutions
• Develop Spark applications
• Develop reusable data and AI platform components
• Build and maintain MLOps pipelines using Azure Databricks
• Automate platform, data and ML deployments

• Design, build and maintain enterprise Azure cloud infrastructure and platform services.
• Develop and maintain Infrastructure as Code solutions using Terraform.
• Design, implement and maintain Azure Landing Zones, governance policies and platform standards.

• Design and own the Azure Native Data & AI Platform architecture
• Lead Azure Databricks platform implementation and evolution
• Define enterprise data, analytics, ML and AI platform standards and best practices
• Design Lakehouse and Medallion architectures

Developing and executing a comprehensive vulnerability management program, encompassing regular scanning, penetration testing coordination, risk assessment, prioritization, and remediation tracking across all environments...

• Megtervezed és a csapattal közösen felépíted az agentic AI-platformot, amelyre a fejlesztési munkafolyamatainkat alapozzuk.
• Coding agenteket és AI-toolchaineket integrálsz a meglévő C#/.NET és Vue.js ökoszisztémánkba, kialakítva az önálló és többagentű működés feltételeit.