Programme állások XVIII. kerületben (it programozás, fejlesztés)

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

• Build and operate deployment pipelines for AI services
• Deploy and operate model serving, batch scoring, and orchestration pipelines
• Partner with data scientists and applied AI engineers for system design and production deployment

• Ownership of data models and storage architecture behind AI systems across relational, graph, and retrieval-oriented data
• Building and operating APIs, backend services, and pipelines to keep data current and accessible

• Operate, govern, secure, and continuously improve the Azure Databricks platform, ensuring reliability, scalability, security, and cost efficiency.
• Manage Databricks workspaces, environments, account-level settings, identities, and platform access controls.

• Design and build artificial intelligence and machine learning solutions for enterprise clients
• Operationalize AI and machine learning solutions combining custom models with cloud and third-party AI services
• Assess client needs and data for AI/ML solutions

• Risk classification and residual risk handoff
• Severity adjudication and risk framework management
• Vulnerability management including triage and remediation driving
• Design and implementation of compensating controls
• False-positive adjudication with written justification

• Engineering next-generation Video Review solutions across multiple sports disciplines
• Collaborating with cross-functional teams to design and implement components for Video Review
• Taking part in field testing and supporting deployments at live sporting events

• Leading a team of engineers and guiding their day-to-day work
• Removing blockers to enable team delivery
• Running regular one-on-ones and giving continuous feedback
• Owning delivery and adjusting priorities
• Mentoring engineers against the engineering competency framework

• 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

• Crafting innovative solutions through requirements analysis
• Constructing workflow charts
• Drafting precise specifications
• Transforming business requests into actionable development plans
• Creating user stories
• Creating robust acceptance criteria
• Guiding projects from concept to seamless implementation

• Build-from-zero applications
• Bridge machine learning and product
• AI-accelerated development
• Real-time visualization
• End-to-end delivery of early-stage applications

• Establish data feeds with custodian banks, data vendors, and other service providers
• Support senior leadership, clients, and the broader Data Team in executing analyses and providing data-driven answers to questions
• Fully automate and centralize existing data integration processes

• 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

Development and enhancement of the MSCI Index Development Platform and the IndexMetrics Real-Time application using modern software engineering practices, Python, Azure, and AI-assisted development tools...

• Development and improvement of computer vision algorithms for cricket tracking systems
• Building and enhancement of ball and player tracking solutions using multi-camera technology
• Contribution to multi-view geometry solutions to improve tracking accuracy

• 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

• Ownership of on-device inference
• Design and implementation of Android inference solutions
• Development and maintenance of native Android vision layer using C++ and Android NDK
• Creation of JNI bindings connecting native components to Kotlin application

• End-to-end responsibility for all project stages including discovery, design, development and handover to support
• Understanding technology-related issues to deliver the best possible solution for clients
• High-level discussions on technical details with the team and external client

• Development and elaboration of functional concepts including creation of functional architectures
• Creation of user stories and use cases to support development processes
• Visualization of functional concepts such as sequence diagrams and activity diagrams