Ai és automatizáció állások, munkák

Performing tasks related to the position....

• Technical ownership of assigned areas within Infor ERP LN and related platforms
• Monitoring, troubleshooting, and resolving complex system, technical, and performance issues
• Leading root cause analysis and driving sustainable, long-term solutions

Performing tasks related to the position....

Performing tasks related to the position....

• 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

• Design, development, and enhancement of computer vision algorithms for accurate player, skeletal, ball, and game object tracking
• Design and improvement of multi-view geometry solutions, handling occlusions, tracking recovery, and other challenging real-world scenarios

• Architectural design across tracking, auto-officiating and data delivery
• Setting initial architecture for new tracking problems
• Running the Software Domain Owner model for shared libraries
• Maintaining design consistency across sports
• Representing tracking in the Engineering Architecture Steering group

• Drive commercial delivery of next-generation tracking products through field trials and full commercial launch
• Shape agentic development culture by organizing development around AI-delegation and AI-augmentation models
• Set the bar and hire talent with proven fluency in agentic development at scale

• 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

• Building and leading a high-calibre Product & Engineering function with strong technical credibility and operational judgement
• Hiring, developing, and aligning engineering leaders and specialists across sports and disciplines within Performance & Insights

Performing tasks related to the position....

• Owning the quality architecture for the Scoring engine
• Prioritizing test strategies based on real-world risk
• Standardizing reusable patterns for the repository
• Building reliable automated coverage across UI, API, and deep service layers

• 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

Performing tasks related to the position....

• 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

• 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

• Az Agentic AI Platform vállalati integrációs rétegének kialakítása és továbbfejlesztése.
• MCP-szerverek és connectorok fejlesztése és üzemeltetése, amelyek szabványosított és szabályozott hozzáférést biztosítanak az AI-agentek számára a vállalati rendszerekhez és eszközökhöz.

• Design, build and deploy AI agents and multi-agent pipelines for B2B clients across sales, support, and operations
• Architect integrations between LLM layers, voice AI (VoIP/SIP), CRMs, and business workflows

• In-depth assessments with clients to understand business and technical needs
• Analysis of client requirements and proposal of feasible technical solutions
• Identification of client challenges and goals with recommendation of effective solutions

• Real-time decision making with machine learning for risk assessments
• Ownership of risk infrastructure for Instant ACH in the US market
• Cross-functional collaboration with software engineers, data analysts, and data scientists