Ai és automatizáció állások, munkák

• Tackling complex technical challenges focused on scalability, reliability, and speed
• Maintaining a high-performance infrastructure that processes millions of events with low latency
• Collaborating with Data Scientists and Engineers to design and implement cutting-edge feature topologies

• Building and leading multiple AI directions within a unified strategy
• Defining and owning the overall AI roadmap and priorities across domains
• Designing scalable AI and ML architectures suitable for production
• Translating business needs into practical and impactful AI solutions

• Development of world-class Sportsbook platform
• Support of Sportsbook product available globally
• Collaboration within cross functional teams spanning multiple tech hubs
• Delivery of required business value as part of Sportsbook tech team

• Design and build scalable data warehousing and lakehouse solutions
• Operate scalable data infrastructure and lakehouse solutions
• Create and own robust ELT pipelines connecting multiple internal and external data sources
• Design and implement data models aligned with industry best practices

• Design, build, and maintain CI/CD pipelines
• Embed observability, automation, and reliability practices early in the development lifecycle
• Drive initiatives around Infrastructure as Code (IaC) using tools like Terraform and Kubernetes manifests

Support the Global Privacy and Data Protection Officer and regional privacy leadership in implementing and maintaining the Global Privacy and Data Protection Policy, privacy framework, and related governance model...

• Development of a robust framework for generating and distributing work across all operations
• Creation of tools and frameworks for teams to design specific workflows
• Establishment of a comprehensive reference for a 360-degree view of customer data

• Design, implement, and maintain scalable infrastructure and technological solutions for production and development environments
• Build, manage, and optimize CI/CD pipelines to enable efficient, reliable, and automated software deployments

• Technical leadership in Unreal-powered graphics pipeline development
• Mentoring junior engineers
• Collaboration with cross-functional teams
• Development and optimisation of AR/VR and backend graphics solutions
• Integration with in-house art assets
• Addressing critical bugs

• Building and maintaining infrastructure for large-scale data and video streaming platforms
• Supporting development teams by making deployments easier, faster, and more reliable
• Improving security by helping to monitor and prevent potential risks

Design, deploy, and maintain observability platforms and tools such as Prometheus, Grafana LGTM+ stack, OTel and others to provide comprehensive insights into system behaviour and performance...

• Technical leadership for cloud platforms, automation, Infrastructure as Code, and platform reliability
• Management of technical improvements and reliable delivery of platform capabilities
• Ownership of platform operations ensuring reliability, scalability, and continuous improvement

• Definition and implementation of the enterprise architecture operating model including decision rights, governance forums, and engagement models
• Establishment and ownership of enterprise-wide architecture processes such as intake, review, exception management, technical debt, and lifecycle management

• Installation, alteration, troubleshooting, repair, and maintenance of electronic, mechanical, computer, control systems and components in a complex fulfillment/distribution center
• Adherence to health and safety policies and procedures

• Definition and improvement of metrics representing product performance and operations efficiency
• Data collection from multiple sources ensuring accuracy and completeness
• Data cleaning, organization, and transformation into usable formats for analysis

• Design and build scalable, reusable frameworks and services for data ingestion, transformation, and processing
• Develop and maintain the platform’s core capabilities such as orchestration, data quality validation, and schema management tools

• 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

• Képeken meghatározott objektumok megtalálása, keretezése, kijelölése
• Képeken található szöveges és egyéb információk rögzítése, mentése
• Képek alapján járművek márkájának és típusának kiválasztása meglévő adatbázisból

• Execution of the implementation of the strategy, development, and operational excellence of CI/CD platforms and Internal Developer Portals (IDPs)
• Ensuring engineering teams have reliable, scalable, and efficient infrastructure

• Software development from design to writing code and unit tests
• Managing SQL and NoSQL data models
• Collaboration and knowledge sharing within the team