E learning állások Budapesten (it programozás, fejlesztés)

• Design and development of frameworks and guardrails for ML solutions and products
• Staying updated on industry trends, emerging technologies, and best practices
• Exploration and implementation of new AI technologies and methodologies including MLOps

• Executing system data maintenance and administrative activities in Cornerstone and all relevant Learning management systems
• Providing non-systems related Learning process support

• Design, development, and optimization of core ML models in Computer Vision and Deep Learning
• Development of efficient, scalable training and inference pipelines
• Mentoring junior ML engineers, code review and sharing best practices

• Designing and developing new machine learning models with a focus on real-time performance
• Integrating cutting-edge ML features into the SkeleTRACK product
• Analysing model performance and identifying areas of improvement
• Mentoring junior engineers and driving technical discussions

• Learning existing system architecture, codebase, tools, and development practices
• Validating existing technical documentation and flagging any gaps or outdated content
• Highlighting blockers to knowledge transfer such as missing info, unclear logic, inaccessible systems

• Creating, owning and implementing a holistic change management strategy
• Driving behavioral change and technology adoption
• Actively monitoring the adoption of technical functionalities
• Identifying opportunities to enhance product usability and platform capabilities

• Leading and scaling PV Regional Center operations across EEMEA region
• Overseeing all PV and Device Vigilance operations in the region
• Driving absolute compliance and operational agility
• Integrating clinical safety into operations
• Directing and motivating a multi-site regional team

• Building and maintaining simulation environments for mobile robotic perception and navigation
• Developing and integrating robotic behaviours and learning pipelines for reinforcement learning and motion planning in complex outdoor environments

• Review and challenge engineering design documents
• Build and mentor a high-performing engineering team
• Contribute to strategic planning and execution as part of the Engineering Leadership Team
• Champion leadership behaviors and cultivate a motivated, high-achieving team culture

• Automation and streamlining of fraud investigation processes
• Improvement of tooling for fraud investigations
• Creation of seamless experience for agents and customers during fraud investigations
• Development of innovative solutions to tackle fraud

• Learning from senior and medior developers through mentoring and structured knowledge-sharing
• Supporting daily development with simpler workflows, forms, and minor software updates including implementation and documentation

• Experience in different data science topics
• Independent delivery of data science projects with product-oriented mindset
• Engagement with clients to understand business objectives and translate into technical requirements
• Leading pre-sales technical discussions

• Development of go-to-market enablement strategy for assigned product portfolio
• Creation of high-impact training videos, e-learning paths, talk track guides, podcasts, job aids, and live product demos

• Building high-performing, AI-enabled teams within Budapest Global Center for Product Innovation
• Leading engineering for strategic products with design, delivery, and quality management across multiple agile teams

• Development and customization of Microsoft Dynamics 365 applications using C#/.NET and Power Platform tools
• Building integrations between Dynamics 365 and Azure services such as Logic Apps and Functions

• Management and prioritization of the product backlog by balancing business value, risks, and technical dependencies
• Translation of stakeholder needs into clear, ready user stories with specific acceptance criteria for the development team

• Designing, developing, and improving ball and player tracking algorithms using multi-camera systems
• Owning and evolving multi-view geometry solutions for accurate, court-wide tracking
• Developing robust approaches to occlusion handling, recovery, and failure modes in fast-paced sports scenarios

Design and build knowledge tracing and longitudinal learner models that support mastery and progression features surfaced to customers...

• Planning, coordination, and delivery of signal detection and product safety scientist activities
• Mentoring of more junior colleagues
• Development of processes, tools, and systems
• Serving as lead on smaller FSP-type projects
• Supporting strategies for safety data generation, assessment, and communications

• Lead intake, triage, and prioritization of Enterprise Web Product requests
• Advise stakeholders on the effective use of Enterprise Web Product functionalities and best practices
• Act as the main liaison between BPOs, internal requestors, IT/technical teams, and external partners