Machine learning expert állások Budapesten (it programozás, fejlesztés)

• Owning the design, development, and optimization of core ML models, especially in Computer Vision and Deep Learning
• Leading the development of efficient, scalable training and inference pipelines
• Mentoring junior ML engineers, reviewing code and sharing best practices

Designing and building learner models, including knowledge tracing and longitudinal approaches, that power mastery and progression features surfaced to learners and educators...

• Designing, building, and maintaining large-scale distributed data systems
• Developing data processing pipelines using technologies such as Spark and streaming solutions
• Working on systems that evaluate and ensure the quality and integrity of large-scale knowledge graphs

• Designing and building artificial intelligence and machine learning solutions for enterprise clients
• Operationalizing artificial intelligence and machine learning solutions, combining custom models with cloud and third-party AI services to deliver production-ready outcomes

• Leading the design and implementation of scalable data pipelines and Lakehouse architectures as the Design Authority
• Solving the hardest technical challenges—optimizing high-load streaming pipelines, debugging complex Spark jobs, and designing generic frameworks

• Owning the architecture and delivery of production-grade LLM systems and classical ML solutions
• Designing, evaluating, and optimizing RAG pipelines (retrieval strategy, chunking, indexing, monitoring)

• Develop agentic AI applications from refined business and technical requirements.
• Implement agent workflows, prompts, model integrations, memory, RAG, tool calling, security controls, and human-in-the-loop steps.