Python programmer állások XI. kerületben (it programozás, fejlesztés)

• collaborating on the design and development of ML‑based applications and their backend components
• helping to select the most applicable solutions for a given business problem
• writing clean, efficient and well‑documented code
• contributing to our MLOps processes

• Build and maintain the GRC Brain (AI reasoning layer) and Agentic Cortex (agent orchestration framework)
• Design and implement a 7-agent architecture: OnboardingAgent, ScopeAgent, StandardsMapper, RiskQuantifier, PolicyAnalyzer, InfrastructureAuditor, and ComplianceMonitor

• 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

• Architect and lead the development of large-scale ML systems and model pipelines
• Introduce new ML systems such as traffic sign detection, building facade detection, and other computer vision-based solutions
• Define and drive the ML technical roadmap in alignment with company objectives

• statisztikai és gépi tanulási modellek fejlesztése, karbantartása és monitorozása
• piackutatások készítése
• adatvezérelt megoldások kidolgozása az értékesítés, kárrendezés, ügyfélkiszolgálás és termékterületek támogatására

• Support transmission system operators and distribution system operators in planning the power grid of the future
• Work directly with clients as part of international consulting project teams
• Perform power system analyses including power flow, voltage, short-circuit, N-1, redispatch

• Be able to manage small teams to deliver analytic functions in support of strategic and business development projects.
• Analyse and assess macroeconomic, energy market and other industry-specific developments by synthetizing available empirical evidence, related literature, and economic theory.

• Leading a team of 2-3 AI and cloud engineers focused on fast prototyping of AI/ML solutions in AWS cloud
• Providing mentoring and technical support to junior and medium teammates
• Acting as a trusted advisor to clients

• The CloudOps Engineer is responsible for availability for cloud platforms
• Respond, troubleshoot and resolve production alarms
• Communicate and troubleshoot operational issues supporting a complex environment
• Respond to cloud service outages and manage incident tickets

• Managing day-to-day operations of Databricks data pipelines, including monitoring, troubleshooting, and performance tuning
• Maintaining Delta Lake data layers (bronze / silver / gold), ensuring data availability, consistency, and smooth pipeline execution

• Ownership of data engineering features, architecture, and code quality
• Design, implementation, and maintenance of Databricks-based data pipelines and workflows
• Building and optimization of ETL/ELT processes using Apache Spark on Databricks

• 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

• Definition and development of system-level tests for high-end embedded computing systems
• Automation of test execution and evaluation through scripting in a CI environment
• Increase of test coverage by extending functional examples into comprehensive test suites

Performing tasks related to the position....

• Support the application and automation of quantitative techniques used to assess investment managers across various asset classes
• Assist with maintaining and updating data processes and analytical tools used in manager and portfolio analysis

• Creation and preparation of 3D assets, environments, and scene layouts for Omniverse and OpenUSD workflows
• Assembly of digital-twin scenes for industrial, facility, product, or enterprise visualization use cases

• 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

• 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

• Native Swift/iOS application development
• User interface and function design as planned
• Requirements gathering participation
• Project and technical planning participation
• Unit and UI test writing
• Developer testing participation
• Continuous learning

• Development of web applications in a team using the newest technologies
• Implementation of new functionalities in backend and frontend
• Design and estimation of user stories
• Participation in system design
• Design of user interfaces and functions as planned
• Participation in product roadmap design