Program állások XXIII. kerületben (ai és automatizáció)

• 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 data engineering projects across industries
• Leading small delivery teams
• Managing customer relationships alone or with a Project Manager
• Mentoring more junior engineers
• Evaluating the quality of junior engineers' work
• Contributing to hiring best-in-class data engineers

Design of high quality Salesforce solutions leveraging the latest capabilities of the Einstein 1 Platform, Lightning Web Components, and modern Apex patterns...

• 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

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...

• Shaping AI and digital projects as a trusted advisor to clients navigating AI adoption and digital transformation
• Developing new offerings and opening new opportunities by shaping service propositions and targeting companies and sectors

• Supporting clients in making planning, construction, and operational processes more efficient and transparent through digital modeling technologies
• Implementing and establishing BIM standards
• Working actively with Autodesk Revit to create and coordinate models

• Owning a revenue target across data, advanced analytics, and predictive AI
• Leading executive-level client conversations, joining deals early to diagnose the business problem, structure a solution, and build the ROI case that gets the client to sign

• Managing the project lifecycle delivery of Sustainability & Climate Corporate Solutions for the Corporates client segment
• Serving as the dedicated client liaison during each project engagement

• Co-design and implement QA workflows using statistical diagnostics, validation rules, and anomaly detection techniques
• Apply AI/machine learning tools to identify inconsistencies, missing values, or suspicious patterns in large-scale asset datasets

• Coordination with Product Manager and multi-skillset team members to develop holistic product delivery plans
• Management of delivery plans for complex, high-impact technical projects
• Deep dive into complex technical issues to understand root causes, evaluate trade-offs, and propose analytical solutions

• Leading a team of Reward Analysts covering the Compensation area
• Driving and collaborating on technical improvements and innovation
• Configuration of the Workday Job Catalog, eligibility rules, grades, grade profiles, bonus plans, allowances

• Global product ownership for safety, health, and environmental compliance systems
• Monitoring corrective and preventive actions (CAPAs) and driving consistent application across global sites
• Documentation of process features, user stories, and requirements in technical platforms

• Understanding global business strategy and translating on business department/employee level
• Creating alignment within the organisation for implementing action plans
• Proactively testing new solutions and proposals to leverage service delivery maturity

• Elektronikus vezérlőegységek követelményeinek felmérése és elemzése
• ECU kapcsolási tervek elkészítése
• Egyedi mérőkártyák és kezdetleges prototípusok teljes körű hardveres fejlesztése a teszteléshez
• Mérőkártyák gyártatási folyamatának menedzselése

• Leading a cross-functional Product Driven Organization team in building advanced analytics and cloud-native data products in the EU Sales and CO2 Compliance domain
• Bridging the gap between complex statistical modeling, cloud architecture, and strategic senior executive decision-making

• Operating and supporting several systems in Azure
• Designing and continuously improving monitoring, alerting, and logging
• Supporting incident handling including troubleshooting, root-cause analysis, and prevention
• Building operational automation such as runbooks and standardized procedures

• Building complex financial analysis utilizing Microsoft Excel, Python, Alteryx, KNIME, Power BI & Tableau
• Taking part in significant international transaction projects
• Collecting, researching and analyzing data related to the client’s business operations

• Lead the design and implementation of scalable data pipelines and Lakehouse architectures
• Act as the design authority
• Solve the hardest technical challenges including optimizing high-load streaming pipelines, debugging complex Spark jobs, and designing generic frameworks

• Design and implement pipelines to ingest, clean, and transform data into Data Lakes and Data Warehouses
• Active monitoring and optimization of pipelines for performance and cost
• Configuration of pipeline deployments and management of environment settings using IaC tools and CI/CD