We programozó állások VI. kerületben (it programozás, fejlesztés)

• Develop, update, and maintain HTML emails, responsive landing pages and microsites used in marketing campaigns.
• Collaborate with marketing automation specialists, designers, copywriters, campaign managers and field marketing managers to ensure digital assets meet brand and usability standards.

• Ensuring the completion of development tasks to support the new release of projects/solutions
• Grooming user stories with Product Owner
• Supporting production requests or fixing issues
• Unit testing applications and reporting daily progress on daily stand-up meetings

• Ensuring the completion of development tasks to support the new release of projects/solutions.
• Supporting production requests or fixing issues
• Unit testing applications and reporting daily progress

• Develop and operationalize solutions across classical AI/ML/DL and generative AI use cases
• Build, evaluate, and optimize machine learning and deep learning models for business applications
• Integrate data and AI services from APIs, third-party platforms, cloud services, and internal systems

• Design, implement, and maintain data warehouse solutions
• Build robust ETL pipelines to ingest and transform data from various sources into target storage (cloud, data lake, warehouse), ensuring data integrity

• Monitor and control IT project budgets from initial request through completion, ensuring financial adherence and transparency
• Develop and maintain KPIs and performance dashboards to evaluate departmental effectiveness and identify improvement opportunities

• Writing and maintaining Python-based automated system and regression tests
• Expanding automated regression coverage and improving stability of test execution
• Evaluating daily automated test results and handling failures
• Owning and driving system-level testing activities within a Scrum team

Crafting the next generation of single security analytical modelling platform using C++23 and Python 3 Creating new modules, applications, APIs, and observability pipelines Understanding business processes and identifying bottlenecks Providing optimizations to improve cloud compute performance...

Design and implementation of the server architecture of the flagship product iREMS Finding solutions and developing to production stage for complex problems Collaboration with teams located in Budapest and Oradea ensuring constructive communication with co-developers and consulting/support teams...

Cooperation with software teams to establish and implement quality processes at every stage of the development cycle Development of automated test cases for firmware and Linux-based systems including bootloaders, kernel, device drivers and applications Driving improvement at every step of the...

Architecture design of large-scale market data initiatives Software engineering of secure, high performance, scalable and maintainable applications Integration and deployment of market data initiatives Coordination and collaboration with internal OneMSCI stakeholders Conversion of business...

Co-design and implementation of QA workflows using statistical diagnostics, validation rules, and anomaly detection techniques Application of AI/machine learning tools to identify inconsistencies, missing values, or suspicious patterns in large-scale asset datasets Building reusable QA tools in...

Support of daily data production workflows across multiple asset classes Performance of quality assurance checks on incoming vendor data and internally generated analytics Investigation of data quality issues such as pricing discrepancies, missing data, and analytical outliers Maintenance support...

Support Daily Data Production Workflows Across Multiple Asset Classes Perform Quality Assurance Checks On Incoming Vendor Data And Internally Generated Analytics Assist With Investigating Data Quality Issues Help Maintain And Improve Production Monitoring Tools, Dashboards, And Sign-Off Processes...

Development of novel data extraction tools and workflows Co-lead R&D projects for information extraction from structured, semi-structured, and unstructured data Design, prototype, and evaluate scalable models including LLMs for asset detection, attribute inference, and classification Implementation...

Daily data production and quality assurance for client-facing data products Vendor data integration and management Methodology implementations, historical restatements, and platform migrations Data quality investigation including pricing errors, model performance, and analytical discrepancies...