Ai és automatizáció állások, munkák

• Build and maintain Azure Databricks solutions
• Develop scalable ETL/ELT pipelines
• Implement and optimize Lakehouse solutions
• Develop Spark applications
• Develop reusable data and AI platform components
• Build and maintain MLOps pipelines using Azure Databricks
• Automate platform, data and ML deployments

• Development and execution of a comprehensive vulnerability management program
• Management of design, implementation, and optimization of security platforms
• Support for evaluation, selection, and integration of new security technologies and tools

• 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

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

• 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

• Architectural design across tracking, auto-officiating and data delivery
• Ownership of software-level architectural design for tracking products
• Setting initial architecture for new tracking problems
• Running the Software Domain Owner model for shared libraries
• Maintaining design consistency across sports

• Building and refining critical controls to prevent Wise customers from scams
• Driving backend and frontend for scam prevention and detection systems
• Delivering tangible impact by securing customers' money and accelerating product growth

• Leading a dynamic, cross-functional team dedicated to standardizing and elevating operational workflows
• Equipping Wise’s operational teams with out-of-the-box solutions and actionable data insights
• Owning the solutions for case and document request lifecycle management

• 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

• Megtervezed és a csapattal közösen felépíted az agentic AI-platformot, amelyre a fejlesztési munkafolyamatainkat alapozzuk.
• Coding agenteket és AI-toolchaineket integrálsz a meglévő C#/.NET és Vue.js ökoszisztémánkba, kialakítva az önálló és többagentű működés feltételeit.

• AI-first szoftverfejlesztési rendszer kialakítása a cégcsoportnál és az ügyfeleknél
• AI-alapú belső automatizálási lehetőségek kiaknázása
• Önállóan működő, profitábilis AI-üzletág felépítése
• SaaS-termékek piacra vitele és folyamatos fejlesztése
• ProdyAI CRM/ERP és TenderAI fejlesztésének irányítása

• Ownership of the functional Dynamics 365 Commerce domain
• Gathering and analyzing business requirements
• Translating business requirements into functional solutions
• Supporting implementation activities across different markets

• Building tools and automation for FinCrime teams
• Supporting model experimentation, bias and fairness analysis
• Automated training-set maintenance
• Threshold analysis
• Building platform and tooling for Data Scientists and Product Managers
• Removing repetitive engineering work

• Deployment and scaling of EcliptOS platform
• Ownership of EcliptOS platform delivery lifecycle
• Deployment and configuration of production-grade systems across cloud and hybrid infrastructures
• Validation of performance and stability of deployed systems
• Ensuring structured handovers for long-term success

• Design and development of GIS-based solutions, web applications, dashboards, and reporting solutions using Esri technologies
• Analysis and optimization of existing GIS processes focusing on scalability, data quality, and operational efficiency

• Collaboration with global network of technologists, designers, and strategists
• Development of cutting-edge products
• Mentoring client teams
• Shaping engineering cultures
• Hands-on work with clients across industries
• Development of software products and services from the ground up

• Preparation and distribution of weekly and monthly management reporting packages
• Creation of executive PowerPoint decks and Power BI dashboards for CFO and business unit heads
• Definition, validation, and operationalization of automated reporting and semantic data models

Development and maintenance of mission-critical video processing, transcription, accessibility pipelines, and interactive analytics services using TypeScript, React, and Ruby on Rails...

• Architecture design leadership
• Technology decision driving
• Innovative product co-creation
• Client mentoring in Agile practices and engineering excellence
• Project workstream leadership
• Architectural decision making
• Scalable solution building using Agile methodologies
• Client team collaboration

• Ownership of internal agentic portfolio from build-and-rollout perspective
• Prioritization of use cases
• Planning and tracking delivery across several initiatives in parallel
• Gathering requirements from stakeholders in every department