Python programozó diákmunka állások, munkák programozó, fejlesztő kategóriában

In this PhD project, you will investigate neural 3D scene representations, including neural radiance fields, Gaussian splatting, and implicit occupancy models, and adapt them to the unique challenges of in-cabin perception. Unlike exterior environments, where a moving sensor observes a largely...

• Providing technical expertise on Veeva’s applications, Vault Platform, APIs, and Java SDK
• Developing custom code and configuring Veeva software
• Contributing to solution design under guidance of experienced technical and migration architects
• Supporting content and data migration

Analysis of the data ecosystem: assessment of data systems, interfaces and data quality; evaluation of security / privacy and interoperability (data-level to user-level)...

You design and develop next-generation architecture at the intersection of multi-modal perception, foundation models, behavior learning, and end-to-end autonomous driving....

As a PhD candidate with us, you will dive deep into the world of agentic AI systems and contribute significantly to the development of intelligent solutions for real-world challenges, combining cutting-edge research with direct industrial impact....

• WinningTeam – You are part of a highly skilled and motivated project team and you are eager to contribute to the project success
• GettingToKnow about the Zone Architecture
• LearningAbout different Testing tools used in Automotive

• Contribution to System IP microarchitecture specification and design
• Contribution in SystemVerilog, C and C++ to verification, modelling and debug
• Proposal and prototyping of new methodologies to improve efficiency
• Ownership and development of verification plans and environments

• Build and run evaluation pipelines for LLM-based systems
• Analyze metrics, identify edge cases, and track quality
• Create and maintain Golden and Silver datasets
• Work with evaluation frameworks and tools (like Langfuse)
• Develop Python scripts for AI workflows (APIs, data processing, monitoring)

• Develop both classical algorithms and modern machine learning techniques
• Implement algorithms efficiently on embedded hardware
• Optimize parameters for complex, hybrid image pipelines
• Develop innovative solutions for hardware-constrained challenges

Architect the ML Platform: Design, implement, and maintain a robust MLOps infrastructure that enables researchers to move seamlessly from local experimentation to global production....

• Understanding implementation of Fixed Income Derivative Pricing Models written in C++ including yield curve, inflation, FX and volatility derivative models
• Quantitative modeling involving analysis of model output and time-series to define correctness criteria and thresholding measured daily

• Resource account igénylése és összekötése namespacekkel
• Resource accountba kerülő komponensek megvalósítása RDS, APIk, S3, MSK, cognito, SES, private link endpoint és endpoint service nonprod és prod környezeteken
• RICE API kapcsolatok kialakítása

• Contribute to pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Define the data, training, and experimentation environment to enable scalable access to data and compute.

• Responsibility for the software architecture including fundamental software engineering non-functional and functional requirements and constraints
• Analysis of business and technical requirements for software platforms and infrastructure

• Translate business requirements into technical solutions through workshops, prototyping, and iterative delivery
• Collaborate with customers across the delivery lifecycle (workshops, reviews, UAT) to refine and optimize solutions

• Make optimization runs fast enough that customers iterate in minutes, not hours — across problems an order of magnitude larger than today
• Build the data backbone: ingest SAP/ERP exports, Excel reality, and operator knowledge into a clean, versioned, traceable model layer

You will design and write a master's thesis on predictive maintenance for the electric heating elements of a commercial dishwasher....

As a Machine Learning Engineer in our Retail ML team, you will take end‑to‑end ownership of designing, developing and maintaining advanced machine learning solutions that directly influence our commercial performance. Your work will span dynamic pricing, demand forecasting and data‑driven buying...

• Design, develop, and implement complex, scalable Lakehouse solutions on the Databricks platform across major cloud environments (Azure, AWS, or GCP)
• Design, build, and optimize modular data pipelines using Delta Lake to ensure data efficiency, reliability, and quality

• Further development and configuration of continuous integration in Gitlab and python
• Commissioning of cloud infrastructure
• Data evaluation and creation of dashboards
• Implementation of AI agents