Python programozó diákmunka állások VIII. kerületben (programozó, fejlesztő)

• Design and implement modern data architectures and lakehouse solutions
• Provide technical leadership throughout the project lifecycle
• Collaborate with business stakeholders
• Create effort estimations and provide technical expertise during the pre-sales phase
• Mentor 3-6 person project teams

• End-to-end implementation of data pipelines and GenAI applications on Databricks
• Design and maintenance of CI/CD, model serving, monitoring, and evaluation frameworks for AI production reliability
• Tuning of complex Spark jobs and LLM inference patterns for performance optimization

• Technical leadership post-sales for strategic customers in big data project design and implementation
• Identification and driving of new initiatives to turn customer data into actionable business value aligned with business goals

• Further development of existing optimization components of the airline management system Netline/Crew or Netline Scheduling area
• Implementation and experimentation on new and efficient optimization approaches
• Recording customer requirements for the commissioning of existing optimization components

• 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
• Developing highly scalable services realizing AI/ML functionalities

• 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

Working directly with customers and project teams providing technical expertise on Veeva’s applications, Vault Platform, APIs, and Java SDK Developing custom code and configuring Veeva software Contributing to solution design under guidance of experienced technical and migration architects...

• Automation and streamlining of fraud investigation processes
• Improvement of tooling for fraud investigations
• Creation of seamless experience for agents and customers during fraud investigations
• Development of innovative solutions to tackle fraud

• 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

• Data exploration, profiling, cleansing, and preprocessing for high-quality datasets
• Design and management of workflows for storing and retrieving vectorised documents
• Application of embedding models to build AI-driven solutions

Understanding implementation of Fixed Income Derivative Pricing Models written in C++ including yield curve, inflation, FX and volatility derivative models Quantitative modeling involving analysis of model output and time-series to define correctness criteria and thresholding measured daily...

• Design, develop, and maintain C-based applications in Linux/UNIX environments
• Work with system-level interfaces (POSIX APIs, processes, file systems, sockets)
• Develop and enhance Kerberos authentication systems and related tooling

• Embedding in the daily life of two engineering teams specialized in AML entity monitoring and case management solutions and device fingerprinting technology
• Ensuring technical designs align with SEON's architectural best-practices, are pragmatic and complete

Researching and designing new performance attribution models Collaborating with software developers to test and release new models into production Supporting existing performance attribution models in production Developing and improving model quality control and model performance monitoring...