Machine learning software engineer állás, munka

Develop highly scalable services realizing AI/ML functionalities (e.g. NLP, ML and AI models) Implement various machine learning solutions addressing computer vision and NLP use cases Work with Large Language Models (LLMs), perform prompt engineering tasks Design and implement data transformation...

• an excellent degree (. or equivalent) in Computer Science, Machine Learning, Applied Mathematics or a related field (e.g. Electrical Engineering)
• strong mathematical understanding
• experience in programming, preferably in Python

• You continuously develop our frontend framework.
• With your commitment, you will shape the conception, implementation and testing of the basis of our online shop.
• You contribute to guidelines and best practices for our front-end development and share them with the team.

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...

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.

Lead a team of 2-3 AI and cloud engineers focused on fast prototyping of AI/ML solutions in AWS cloud. Provide mentoring and technical support to junior and medium teammates. Act as a trusted advisor to clients. Develop highly scalable services realizing AI/ML functionalities (e.g. NLP, ML and AI...

Develop and implement LLM based agentic solutions for processing large document sets. Design and develop machine learning models and algorithms for various applications. Test and evaluate the performance of these models and the solutions. Develop and support semantic search, structured retrieval,...

• 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

• 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