Python fejlesztő állások, munkák it programozás, fejlesztés területen

• 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 implement pipelines to ingest, clean, and transform data into Data Lakes and Data Warehouses
• Active monitoring and optimization of pipelines for performance and cost
• Configuration of pipeline deployments and management of environment settings using IaC tools and CI/CD

Work in our Data & AI Center of Excellence (DACE) in close collaboration with a diverse team of 45 data scientists and AI engineers from various disciplines...

• 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

• Developing custom software solutions in the field of image and video processing
• Testing, integrating and verifying the developed software within the overall system
• Designing and further developing library components with a focus on image processing and communication interfaces

• Develop and evaluate concepts for interactive guidance in navigated ENT surgery
• Design and implement proof-of-concept applications for surgical navigation systems
• Apply technologies such as computer vision, augmented reality, machine learning, and human-computer interaction

• 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

• Komplex AI megoldások fejlesztése ügyfelek számára
• RAG alapú megoldások fejlesztése Python/LangChain vagy Java/Spring AI technológiákkal
• Open source LLM-ek integrálása ügyfélrendszerekbe cloud és on-premise környezetben Kubernetes használatával

• Extract meaningful insights from complex datasets using advanced AI, analytics techniques, and data visualization.
• Translate insights into strategic recommendations to foster data-driven decision-making.

• Further development of existing optimization components of the airline management system Netline/Crew or Netline Scheduling area
• Implementation and experimentation on new and efficient optimization approaches
• Recording customer requirements for the commissioning of existing optimization components

• Further development of existing optimization components of the airline management system Netline/Crew or Netline Scheduling area
• Implementation and experimentation on new and efficient optimization approaches
• Recording customer requirements for the commissioning of existing optimization components

• Design and implement enterprise-scale data pipelines and advanced analytics dashboards
• Develop and optimize data ingestion, transformation, and modeling workflows across structured data environments and cloud-based platforms

• Data ingestion process building and maintenance from various sources into the Data Lake
• Complex data pipeline design, development, and optimization for reliable data flow
• Framework building, development, and maintenance to facilitate data pipeline construction

• You understand RABOT's departments, their core processes and our AI tooling (Claude, Claude Code, our data stack) well enough to run a process-discovery session on your own.
• You've shipped your first automation into production — something a team feels immediately.

• Lead the design and implementation of scalable data pipelines and Lakehouse architectures
• Act as the design authority
• Solve the hardest technical challenges including optimizing high-load streaming pipelines, debugging complex Spark jobs, and designing generic frameworks

• Experience in different data science topics
• Independent delivery of data science projects with e2e product-oriented mindset
• Direct engagement with clients to understand business objectives and translate into technical requirements
• Leading pre-sales technical discussions

• 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

• 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

• Designing and delivering engineering solutions for our businesses and customers
• Enhancing our infrastructure capabilities and functions with new and fresh ideas
• Performing and improving QA and Test Automation frameworks

• 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