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Top Machine Learning Jobs in Hungary
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.
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.
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 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 Support Enablement Manager will create and manage enablement programs for internal Support teams and partners, ensuring they have necessary resources and tools. Responsibilities include designing an enablement strategy, developing training content, and achieving metrics for program success, incorporating AI methodologies where appropriate.
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.
The Manager of Recovery and Continuity at ABBYY will develop and implement business continuity and disaster recovery plans, conduct risk assessments, and coordinate with departments on critical business functions. The role involves managing recovery teams during disruptions, organizing drills, providing training, and ensuring compliance with standards.
The Head of Knowledge and Enablement at ABBYY will lead the development and execution of knowledge-sharing and enablement programs to enhance internal and customer success. Responsibilities include creating a knowledge management strategy, overseeing a support team, collaborating on content development, and implementing training programs. The role emphasizes AI methodologies to improve customer interactions and resource accessibility.
The Enterprise Customer Experience Manager focuses on managing enterprise customer support contracts, ensuring high customer satisfaction and retention through proactive engagement, issue resolution, and advocacy for customer needs within the organization. This role involves tracking customer health metrics and collaborating with support teams to fulfill service obligations and enhance service quality.
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 Regional Reporting Manager at ABBYY will oversee local accounting, tax compliance, manage audits, and ensure financial statements are prepared according to local regulations. Responsibilities include coordinating with external auditors, maintaining relationships with banks, and authorizing vendor payments, while ensuring adherence to local compliance standards.
As a B2C Customer Support Engineer at ABBYY, you will resolve customer tickets by troubleshooting technical issues, collaborating with technical teams, and creating knowledge base documents. Strong English skills, along with either remote or hybrid work options, are emphasized.
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.
As a Lead Data Scientist, you will develop scalable AI solutions across Global Business Units, applying your expertise in machine learning, deep learning, and data analysis. You will manage complex datasets, mentor junior scientists, and collaborate closely with product teams to deliver production-ready models using cloud technologies.
As a Senior Machine Learning Engineer at GE Healthcare, you will develop analytics software for disease prediction, collaborate with a diverse team on large datasets, and work on a hybrid edge-cloud solution primarily within Amazon AWS.
As an Engineering Manager, you will lead multiple product teams focused on vegetation management and data ingestion by managing a team of engineers. You will foster a collaborative environment, provide support and coaching, make strategic technical decisions, and improve engineering practices while aligning with product managers' goals.
As an Engineering Manager, you will work as a Senior Software Engineer and manage a group of engineers, developing AI-powered architecture design products while fostering team growth. You will engage in technical work, collaborate as part of product teams, and help build a solution-focused culture within the organization.
As a Senior ML Platform Engineer, you'll enhance the ML platform to support research teams, managing cloud infrastructure and tooling for data collection and model training. You will ensure seamless operations for researchers by maintaining and improving the infrastructure for GPU clusters in a cloud environment.
As a Machine Learning Engineer at Autodesk, you will develop ML-powered product features, collaborate on cutting-edge research projects, construct ML pipelines, process data, and analyze errors for solutions. You will work closely with researchers and engineers to document methods and results effectively.
The Senior Machine Learning Engineer will lead the design and implementation of advanced machine learning models focusing on NLP and LLM technologies. Responsibilities include developing efficient data processing pipelines, performing large-scale data analysis, and collaborating with teams to optimize workflows in the education and research sector.
As a Presales AI/ML Engineer at Neptune, you'll be presenting the product capabilities to AI research and ML teams globally, crafting compelling narratives to accelerate their work and help them achieve AI breakthroughs.
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