Data science állások, munkák it programozás, fejlesztés területen

• Data ingestion processes from various sources into the Data Lake
• Design, development and optimization of complex data pipelines for reliable data flow
• Build, development and maintenance of frameworks facilitating construction of data pipelines

• Design, build, and operate enterprise-grade Agentic AI platforms
• Own architecture and delivery
• Mentor engineers
• Partner closely with client and internal teams
• Run secure AI environments at scale under strict regulatory and security requirements
• Architect Zero-Trust environments for LLM-based solutions

• Own the end-to-end forecasting and price-elasticity models at the core of our pricing engine — from feature and model research through evaluation, deployment, and continuous monitoring
• Scale the forecasting architecture to meet growing demand for granular, product-level forecasts

• Build and maintain dataset ingestion, cleaning, and versioning pipelines
• Design and operate labeling workflows including quality control and inter-annotator agreement tracking
• Own dataset testing including coverage analysis, class balance, leakage detection, and dataset documentation

• Own the end-to-end forecasting and price-elasticity models at the core of our pricing engine — from feature and model research through evaluation, deployment, and continuous monitoring
• Scale the forecasting architecture to meet growing demand for granular, product-level forecasts

As a Software Engineer you will typically work in project teams of 5-10 people and gain experience in different roles throughout the life cycle of a software development project....

• Development of server software for the control of different devices at PITZ using the DOOCS API
• Integration of applications into the accelerator control system
• Design and implement core operational subsystems as distributed, container-based software based on structural and behavioural design models

• Support the development and evolution of the ERP target picture and ERP strategy for T-Systems
• Evaluate and assess complex SAP system landscapes with focus on consolidation, integration, harmonization, and retirement decisions

Partner with research labs across ETH to identify high-impact use cases for agentic AI and co-develop novel pipelines and tools....

• Develop and evaluate computational models for organoid development, morphology, growth, and response to external stimuli
• Analyze multimodal biological data, including microscopy images, time-lapse recordings, and potentially molecular or experimental metadata

Lead S/4HANA technical transformation and upgrade programs: Own technical assessments, readiness checks, impact analysis, retrofit strategy, risk strategy, test planning, cutover support and delivery governance for SAP S/4HANA implementations and upgrades....

• Platform ownership and enhancement of the OneStream platform focusing on financial reporting, planning, and analysis capabilities
• FP&A enablement through translation of business requirements into robust system solutions supporting budgeting, forecasting, consolidation, and reporting processes

• Development and testing of concepts for physical AI in surgery
• Exploring how modern AI and computer vision techniques can be employed for surgical scene understanding, synthetic data generation, and robotic automation for surgical tasks

• Design and maintain a Commerce-wide engineering metrics framework to track delivery health and team performance
• Review metrics health at team, product, and portfolio level to surface bottlenecks and delivery risks early

Design, implement, and maintain data pipelines that integrate multimodal, structured and unstructured clinical and surgical data from proprietary data collection systems and electronic health record systems, supporting both retrospective analyses and secure live or near-real-time data flows in...

Grow personally as a key player in the global finance team by developing the system landscape, creating data pipelines and BI products that facilitate automation and delivery of complex recurring and ad-hoc tasks across various functions, including global supply chain, sustainability, research...

• Development and integration of state-of-the-art machine learning algorithms for future ophthalmic and other medical devices
• Gain hands-on experience with multiple neural signal modalities

• You develop and implement PLC software for machine control systems, primarily using Siemens automation platforms; Rockwell knowledge is an advantage
• You design, implement, and maintain visualization software, including C# backend services and Angular-based frontend applications

Own the AI platform – take end-to-end ownership of Roland Berger's AI ecosystem, including the AI orchestration layer, AI agent frameworks, LLM integrations, and model routing infrastructure; shape the platform roadmap, own the platform budget, and drive build-vs-buy decisions in alignment with IT...

You architect cloud and hardware solutions to scale AI workloads across GPUs and accelerators, while optimizing storage and networking for throughput, resilience, and cost efficiency....