Data research állások Budapesten (it programozás, fejlesztés)

AI-driven vulnerability management. When frontier models can generate thousands of findings in a weekend, the bottleneck shifts from discovery to triage, verification, and remediation. We're building the pipeline that makes this sustainable....

• Lead annual and periodic User Developed Application (UDA) assessments and certifications, ensuring compliance with bp controls and regulatory requirements
• Partner with participants, application owners and technical teams to identify, assess and remediate control gaps, reducing risk

AI-driven vulnerability management. When frontier models can generate thousands of findings in a weekend, the bottleneck shifts from discovery to triage, verification, and remediation. We're building the pipeline that makes this sustainable....

• Research, develop, implement, and test artificial intelligence algorithms to improve the quality and robustness of the static world model in automated vehicles
• Focus on road structure including lanes, curbs, and drivable trajectories

• End-to-end AI solution ownership from problem definition through prototype validation and production support
• Partnership with product managers and business stakeholders to translate real-world problems into data science and AI initiatives

• Design and build learner models including knowledge tracing and longitudinal approaches
• Shape the data foundation for learner modeling by defining relevant signals and building datasets
• Translate mastery and progression definitions into model targets and evaluation criteria

• Coordination and tracking of sales pipeline and business opportunities
• Support of bid and proposal processes
• Follow-up with internal stakeholders and external partners to keep opportunities moving
• Conducting market research and identifying new business opportunities

• Development and fine-tuning of AI models including LLMs, Agentic AI, and Generative AI systems
• Building and deploying robust AI applications and services on cloud platforms
• Design and implementation of efficient AI pipelines from data preparation through model deployment and monitoring

• Supporting the development, implementation, maintenance, and support of HR systems
• Implementing HR technology policies, processes, and solutions aligning with business goals
• Managing Oracle HCM system-related requests and performing regular system upgrades

• Salesforce development and solution delivery
• Design and implementation of scalable Salesforce solutions across Sales Cloud, Service Cloud, and Health Cloud
• Building and enhancing user experiences using Lightning Web Components and Aura Components

• Management of end-to-end product lifecycle from ideation to launch including monitoring of product success and potential end-of-life management
• Definition of product vision, roadmap, and prioritization based on customer needs and business goals