Machine learning software engineer állások Németországban (it programozás, fejlesztés)

• Maintaining existing as well as creating new Linux applications on the unmanned aircraft.
• Designing and coordinating interfaces between teams, documenting the architecture and design decisions.

With us, you have the opportunity to perfectly combine your studies with practical experience while actively contributing to exciting projects. This allows you to gain valuable skills, expand your network, and grow both professionally and personally. We are seeking passionate and talented students...

implement and productionise ML-based services on our AI- and big-data-platform Databricks, using Python, SQL and Linux....

Develop a content-aware data compression method for Distributed Acoustic Sensing (DAS) data that dynamically adapts to the characteristics of the signal to maximize data reduction while preserving essential information required for downstream machine learning (ML) tasks....

• Assess processes to identify improvement and automation opportunities.
• Collaborate with stakeholders and cross-functional teams to define actionable solutions.
• Define the needs for application and data landscape to enable automation and AI integration.

• Design, configure, and optimize interactions with LLMs through retrieval-augmented generation (RAG), and orchestration.
• Implement tool-calling patterns to integrate LLMs with SaaS tools and APIs.
• Leverage fine-tuning or parameter-efficient techniques for performance enhancement.

• ongoing information on developments, discussions, and trends regarding the use of AI in research
• ongoing information on current and developing legal or compliance requirements
• ongoing development of the (AI) software portfolio provided to research and administration at the GIGA

• Partner with stakeholders to identify, design and evaluate AI solutions by translating complex business challenges into practical ML and GenAI use cases
• Lead data-driven projects, from requirements analysis to implementation, with a strong focus on business impact

• Collaborate on developing and implementation of post-hoc explainable AI models for computer vision models
• Exploring and benchmarking of XAI algorithms for vision language models
• Investigate potential of large language models for concept based XAI

• Support in maintaining and further developing Statista's ranking and rating databases, ensuring consistency, accuracy, and scalability
• Implement and optimize data pipelines (ETL/ELT) to automate data collection, transformation, and validation workflows