Programme állás, munka

• 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

• Project management and execution of every stage of the project lifecycle including international projects in the NORAM and EMEA regions
• Project planning and coordination including development of detailed project plans, timelines, delivery schedules, risk assessments, and mitigation strategies

• Leading a data engineering team comprising 5-6 consultants
• Overseeing project delivery
• Managing and mentoring the team
• Ensuring successful execution of data engineering projects
• Ensuring successful execution of ML/MLOps projects
• Ensuring successful execution of cloud migration projects

• Management of big data, cloud engineering, and machine learning projects for EMEA customers
• Leading end-to-end customer projects from kick-off to project closing
• Managing project and team day-to-day operations
• Handling customer communications and resolving escalations

• Design and implement automation for storage provisioning, capacity management, and operational workflows using Python, Bash, and IaC tooling
• Drive reduction of manual toil through scripted workflows and self-service enablement

• Turning data science and AI experiments into production-ready, scalable solutions
• Developing and deploying Generative AI solutions including LLMs and Diffusion Models
• Designing and implementing data models and flows including ETL, embedding models and vector databases

• Build-from-zero applications powered by the HawkAI Engine
• Bridge machine learning models and real-time data pipelines into APIs and user interfaces
• Integrate AI-assisted development tools into software architecture and data integrity workflows

• Leading a data engineering team comprising 5-6 consultants
• Overseeing project delivery
• Managing and mentoring the team
• Ensuring successful execution of data engineering projects
• Ensuring successful execution of ML and MLOps projects
• Ensuring successful execution of cloud migration projects

• Product definition and backlog ownership
• Quality and testing coordination
• Cross-functional delivery
• Deployment and early-life support
• Growth toward level 4

• Development and maintenance of Unreal Engine applications using modern C++ and Blueprints
• Building new functionality and enhancing existing systems for graphics platform
• Collaboration with engineers, artists, product managers and QA teams

• Designing and developing backend services and APIs that support real-time data ingestion, transformation, and delivery
• Building scalable, low-latency, high-throughput systems capable of handling demanding performance requirements

• Collaboration with cross-functional teams to design and implement system and tooling platform components
• Development and optimization of cloud video frameworks including audio/video processing, streaming technologies, low-latency systems, and scalable cloud-based media solutions

• Technical leadership in Unreal-powered graphics pipeline development
• Mentoring junior engineers
• Leading technical discussions
• Collaborating with cross-functional teams
• Developing and optimising AR/VR and backend graphics solutions
• Integrating with in-house art assets
• Addressing critical bugs

• Design and implement core authentication and authorization including POST /auth/token endpoint, JWT validation middleware, and entitlement enforcement layer
• Build and maintain entitlement decision cache with invalidation on entitlement changes

• Design, build, and deploy production-grade agentic AI and automation solutions that collect, validate, and quality-assure data at scale
• Engineer multi-agent orchestrations, data pipelines, MCP integrations, and API connections that power autonomous, end-to-end data workflows

Leading product discovery, definition, and experience-design activities for complex digital systems in regulated industries like energy, financial services or healthcare...

• Writing reusable, testable, and efficient code mainly in Python
• Delivering great user experience by the development of great user interfaces
• Handling security and data protection professionally and precisely
• Providing technical solutions and implementing new software features collaboratively

• Designing applications to meet business process and application requirements
• Building applications to meet business process and application requirements
• Configuring applications to meet business process and application requirements
• Collaborating and managing the team to perform effectively

• Assistance in developing AI-powered workflows using large language models such as Claude, GPT, and related technologies
• Support for implementation, testing, and maintenance of workflow automation solutions

• Delivery on complex projects individually or by leading small delivery teams
• Management of customer relationships alone or in collaboration with a Project Manager
• Support of pre-sales process
• Mentoring of more junior engineers
• Contribution to hiring best-in-class data talent