Programozó állások, munkák XXIII. kerületben

• Coordination of leadership development programs
• Coordination of coaching initiatives
• Coordination of talent reviews
• Coordination of webinars
• Coordination of global learning experiences
• Management of participant communications
• Management of scheduling
• Management of enrollments
• Management of logistics

• Design process of a SoC by integrating the latest Arm IP products
• Development of RTL code using System Verilog
• Running EDA tools to check the design and analyze results
• Using AI-assisted engineering tools to support development and debug
• Identifying and fixing bugs

• Building AI-powered automation for complex cloud engineering environments
• Combining platform engineering, software development and cloud expertise with modern Generative AI technologies to automate parts of the software development lifecycle

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

• Data gathering from various organizational sources
• Design and implementation of data integration processes
• Collaboration with business stakeholders for reporting requirements
• Extraction, transformation, and loading (ETL) of raw data

• Active partnership with sales and project managers to estimate, design, develop and deliver solutions
• Continuous communication with domain experts and product owners to understand core business needs and goals to synthesize requirement and quality standards

• Build and maintain dataset ingestion, cleaning, and versioning pipelines
• Design and operate labeling workflows including quality control and inter-annotator agreement tracking
• Own dataset testing including coverage analysis, class balance, leakage detection, dataset documentation

• Resource account igénylése és összekötése namespacekkel
• Resource accountba kerülő komponensek megvalósítása RDS, APIk, S3, MSK, cognito, SES, private link endpoint és endpoint service nonprod és prod környezeteken
• RICE API kapcsolatok kialakítása

• Dashboard development with Power BI to visualize sustainability data and metrics
• Data integration from internal databases, external APIs, and third-party platforms
• Client reporting collaboration with sustainability team

• End-to-end penetration testing engagements across web applications, APIs, cloud environments, binary applications and internal/external infrastructure
• Simulation of real-world attacks to identify security risks

• Conduct audits and reviews of quantitative models and risk methodologies across OTP Group entities, including
• Assess model governance frameworks, including model development, validation, implementation, monitoring, and change management processes.

• 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

• Design, develop, and maintain software for client projects with iOS applications
• Explore and test new technologies
• Create demo or prototype applications
• Identify and implement innovative solutions

• Develop short-, medium-, and long-range fleet demand forecasts. 
• Perform fleet sizing analysis using demand forecasts, route assumptions, cycle requirements, and customer needs. 

• Skálázható cloud-native adatarchitektúrák tervezése Databricks vagy MS Fabric platformokra
• Adatmodellek, sémák és tárolási minták kialakítása (lakehouse, Delta, Parquet)
• Batch és streaming adatok betöltési pipeline-jainak megtervezése
• ETL/ELT folyamatok és transzformációs stratégia meghatározása

• Design and develop scalable Salesforce solutions across Sales Cloud, Service Cloud, and Health Cloud
• Build and enhance user experiences using Lightning Web Components and Aura Components

• Development, governance, deployment, and ongoing enhancement of liquidity analytics models and supporting infrastructure across asset classes
• Driving the analytics product lifecycle, including prioritizing initiatives, influencing roadmap decisions, and ensuring successful deployment into production

• Design of architectural patterns for transition from legacy monolithic patterns to modern scalable AI-integrated architectures
• Leading the "Strangler Fig" approach for wrapping, refactoring, or replacing legacy components

Shaping and evolving the architecture of MDO network automation capabilities including reusable automation patterns, interfaces and technical guidelines...

• Training and fine-tuning models against curated datasets
• Running systematic hyperparameter and architecture experiments
• Building and maintaining evaluation suites
• Analyzing model failures and translating findings into dataset or training improvements