Top Machine Learning Jobs in Budapest

The Senior Backend Engineer will develop and enhance real-time transaction monitoring systems for financial crime prevention, collaborating with teams of software engineers, data scientists, and analysts. Responsibilities include building tooling for data exploration, providing training tools for model retraining, and ensuring best practices in coding and system optimization.

As a Senior ML Engineer, you will lead the development of the company's computer vision capabilities, managing data labeling, building ML training pipelines, and ensuring models are deployed and maintained effectively to support key client features.

As a Data Scientist in Real World Data, you will apply machine learning and generative AI techniques to analyze datasets, enhance model performance, and build scalable data pipelines. You will collaborate closely with a software development team and share insights across the organization.

The Research Engineer at Autodesk will lead engineering projects focused on data acquisition, processing, and experimentation to build ML-powered product features. This role involves organizing diverse datasets into unified formats suitable for machine learning while collaborating closely with researchers. Responsibilities include developing pipelines, conducting experiments, and ensuring data compliance.

The Advisor roles involve overseeing AI-related projects, ensuring efficient execution across departments, and supporting decision-making for the Founder. Responsibilities include team supervision, tracking project progress, and managing relationships with stakeholders. Key qualifications include extensive experience in AI and project management, along with superior communication skills.

The Engineering Manager will lead a cross-functional team of engineers and data scientists focused on improving translations using AI and ML. Responsibilities include managing the technical roadmap, mentoring team members, ensuring best practices in software development, and collaborating with product management to meet business goals.

The Knowledge & Community Manager at ABBYY will design and manage knowledge-sharing programs to support internal teams and customers. They will implement AI strategies for case deflection and develop community-focused initiatives, collaborating with various teams to enhance knowledge accessibility and content relevance.

The Manager of Incident Response will oversee the development and implementation of an incident response strategy, manage the incident response team, and ensure effective responses to security incidents. This includes collaborating with cross-functional teams, overseeing incident management processes, and enhancing the organization's security posture through training and awareness. Post-incident reviews and reporting on response metrics are also key responsibilities.