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

• Writing reusable, testable, and efficient code mainly in Python
• Delivering great user experience by the development of great user interfaces
• Handling security and data protection professionally and precisely
• Providing technical solutions and implementing new software features collaboratively

• Writing reusable, testable, and efficient code mainly in Python
• Delivering great user experience by development of great user interfaces
• Handling security and data protection professionally and precisely
• Providing technical solutions and implementing new software features collaboratively

• Writing reusable, testable, and efficient code mainly in Python
• Mastering the integration of user-facing elements developed by front-end developers with server side logic
• Integration of data storage solutions
• Handling security and data protection professionally and precisely

• 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

• Algorithm design and implementation for sensor data processing and analysis
• Algorithm creation for transforming sensor data into actionable insights
• Development of preprocessing techniques for raw sensor data
• Algorithm optimization for performance and scalability

• Working on the next generation vehicle's self-driving software
• Integration of third party frameworks
• Development of the internal data distribution and execution framework
• Development of interfaces to aiSim (in-house sensor and vehicle simulator)
• Sensor data recording related tasks

• Development of tools for parsing, analyzing, and visualizing sensor data
• Maintenance of code repositories including version control, code reviews, and documentation
• Support and management of CI/CD pipelines, software releases, and automated testing

• Design, develop, and maintain enterprise-scale distributed applications using Java/J2EE technologies
• Build and support real-time data interfaces and backend services
• Translate business requirements into scalable technical solutions and system architectures

• Designing and developing new machine learning models with a focus on real-time performance
• Integrating cutting-edge ML features into the SkeleTRACK product
• Analysing model performance and identifying areas of improvement
• Mentoring junior engineers and driving technical discussions

• Building innovative technology that shapes global financial markets
• Solving complex, quantitative problems in a fast paced, collaborative environment
• Building robust, scalable technology and quantitative models that support investment decision making, risk management, and regulatory requirements

• Building and evolving CI infrastructure validating performance methodologies across cloud, on-prem, and hardware targets
• Designing controlled, reproducible test environments to distinguish real regressions from environmental noise

• Building and optimizing inference pipelines for large-scale model serving
• Working with frameworks like PyTorch, TensorRT, and vLLM for efficient model deployment
• Implementing and optimizing ML models using quantization, kernel fusion, and efficient batching

• Részvétel orvosi berendezések továbbfejlesztésében
• Gyártmányfejlesztési folyamatok és tesztelési technológiák megismerése és alkalmazása
• Orvosi berendezések fejlesztési eredményeinek ellenőrzése és tesztelése
• Automatizált és manuális tesztkörnyezetek megismerése
• Tesztek implementálása

• Részvétel orvosi berendezések továbbfejlesztésében
• Gyártmányfejlesztési folyamatok és tesztelési technológiák megismerése és alkalmazása
• Orvosi berendezések fejlesztési eredményeinek ellenőrzése és tesztelése
• Automatizált és manuális tesztkörnyezetek megismerése
• Teszt implementálása

• Define early-stage design patterns and usage frameworks for Databricks and AI-enabled analytics capabilities 
• Enterprise data models and architectural patterns that guide IT-built pipelines in Databricks 

• Leading and growing a cross-functional engineering team combining developers and QA engineers
• Collaborating closely with Product Managers and Designers to shape features from ideation to delivery focusing on usability, performance, and customer value

• Design and implement Data Pipelines in Snowflake
• Develop ingestion pipelines from various sources via Snowpipe and other means
• Create data transformations with SQL, Python, PaaS and 3rd party tools such as dbt
• Optimize existing pipelines and transformations for cost, load time, and maintainability

Development and enhancement of quantitative financial models Application of advanced technologies to real world financial problems Keeping up to date with the latest technological trends ...

• Setting technical direction across teams
• Driving AI-native and cloud-native architecture and long-term system evolution
• Leading design of secure, scalable MCP hosts and AWS microservices
• Balancing performance, reliability, and cost in system design

• Test and validate data recording and sensor calibration tools in testbench and real prototype vehicle environments
• Collaboration with various development teams to deliver technical solutions