Data specialist állások, munkák it programozás, fejlesztés területen

Design, train, and evaluate machine learning models for manufacturing use cases such as quality prediction, anomaly detection, predictive maintenance, and process optimisation, covering the full ML lifecycle from problem definition to performance tuning....

• Implementation and maintenance of large-scale data pipelines and the Azure/Databricks data platform
• Building robust, scalable pipelines using Azure Databricks (PySpark / SQL)
• Integration of data ingestion, processing, transformation, and storage

• Design of Azure cloud infrastructure to support Databricks and data platform workloads
• Implementation and management of Azure cloud infrastructure
• Building and maintaining Azure resources including Resource Groups, VNets, Key Vaults, Storage Accounts, and Azure Active Directory integrations

• Ensure accuracy, reliability, performance, and compliance of AI models and systems across development, testing, deployment, operational use, and feature enhancement
• Develop and execute test plans and validation frameworks for AI products, ML solutions, LLM applications, and agentic systems

• Dashboard development with Power BI to visualize sustainability data and metrics
• Data integration from internal databases, external APIs, and third-party platforms
• Client reporting collaboration with sustainability team for customized visual analytics

Why Now? The energy market is going through its biggest shift in 50 years. We no longer just manage electricity, we make it intelligent. RABOT is growing triple digits — and as we grow, so does our Energy Data Management team. Now is the perfect time to join: you won't learn inside a finished...

• Lead the end-to-end implementation of data pipelines and GenAI applications on Databricks
• Design and maintain CI/CD, model serving, monitoring, and evaluation frameworks for AI production reliability
• Tune complex Spark jobs and LLM inference patterns for maximum efficiency and minimum latency

• Design and build backend services and APIs supporting data ingestion, transformation, and delivery
• Own data storage and pipeline architecture including integration with streaming/event infrastructure
• Implement authentication and authorisation in line with cloud identity and access management

• Design and scale sovereign AI platforms on Azure Kubernetes Service (AKS)
• Ensure high availability and reliability for multi-agent AI systems
• Enable secure enterprise-grade AI deployments
• Architect Zero-Trust environments for LLM-based solutions

• Define and own the global product strategy and roadmap for AI-powered Health Data Products, spanning clinical, genomic, and operational data domains.
• Lead, develop, and grow a team of product managers, fostering a culture of ownership, collaboration, and continuous improvement.

• Take ownership of data engineering initiatives within projects and act as a technical lead towards customers
• Design, build and evolve scalable data platforms and architectures aligned with business goals

• Development of highly scalable services realizing AI/ML functionalities
• Implementation of machine learning solutions addressing computer vision and NLP use cases
• Work with Large Language Models (LLMs) and perform prompt engineering tasks

ARE YOU PREPARED FOR THE FUTURE? AI, AI SIR! Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. But it takes real intellectual leadership and expertise to identify and then harness the AI trends and...

• Support our customers on their transformation to SAP S/4HANA / Intelligent Enterprise.
• Delivery of remote and onsite services together with our experts for global customers with focus on system optimization, conceptual planning as well as empowering the customers with newest best practice knowledge.

• Részvétel egy milliós nagyságrendű ügyfelet kiszolgáló termék fejlesztésében
• Pénzforgalmi folyamatok fejlesztési projektjeiben való részvétel
• Nemzetközi pénzforgalmi igények feltárása, elemzése, javaslattétel, koncepció kidolgozása üzleti, műszaki és fejlesztési igények alapján

• Informatikai fejlesztési projektekben való részvétel
• Üzleti igények felmérése
• Érintett rendszerek meghatározása
• Függőségek és előfeltételek vizsgálata
• Pénzforgalmi folyamatok fejlesztési projektjeiben való részvétel
• Üzleti szakterületek IT oldali támogatása
• Üzleti követelmény specifikációk elkészítése

Explore and apply AI in real projects: Get hands-on with modern AI tools (e.g. Copilot, automation workflows, knowledge agents) and help us bring new digital solutions into everyday work...

You design and own end-to-end AI and data architectures - from data ingestion and feature pipelines to model deployment and monitoring - with a strong focus on production-grade edge AI inside the vehicle....

• Own the target picture, design, and continuous development of the global HR Data Architecture, embedded in the ZEISS Enterprise Vision
• Define how HR data is structured, integrated, and processed – with a focus on modular, integrated architectures, real-time analytics, and AI/ML readiness

• Development, optimisation, and maintenance of backend services using Java (Spring Boot)
• Contribution to design decisions for new and existing projects
• Deployment and scaling of applications in AWS (ECS, Lambda, S3, DynamoDB, etc.)