Python állások I. kerületben (ai és automatizáció)

Engaging with business & functional partners to understand business priorities, ask relevant questions and scope same into a analytical, data science solution document calling out how application of data science will improve decision making- In depth understanding of techniques to prepare the...

• AI-Native Infrastructure: Modern, GPU-intenzív AI/ML keretrendszerek szoftveres alapjainak megtervezése és kiépítése.
• Deep Containerization: Komplex Docker image-ek faragása, kifejezetten GPU-kompatibilis, AI workload-specifikus erőforráskezelésre (NVIDIA-docker, CUDA optimalizáció).

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...

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 Collaborative work to...

Kapcsolattartás az ügyfelekkel, igények felmérése és tanácsadás Azure Function App fejlesztés Dokumentálás Programozás Pythonban Azure infrastruktúra tervezés és karbantartás Rendszeres ellenőrzés, frissítés és teljesítmény optimalizálás Azure környezetben Fejlesztések tervezésében aktív részvétel...

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 the technical direction for AI-enabled platform Architecting secure, scalable, serverless systems on AWS Defining patterns and governance practices for multiple teams Guiding AI value addition across the stack Mentoring senior engineers Leading org-wide design decisions Writing code with...

Design, develop, deploy, monitor, scale, and troubleshoot ML and LLM-based systems Build automated AI testing and evaluation frameworks Collaborate with Applied Scientists and Software Engineers to implement and productize AI-based capabilities Shape and develop the teams AI platform infrastructure...

Fejlesztés és karbantartás magas rendelkezésre állású, grid alapú kockázat- és szcenáriórendszerek Felhőalapú natív megoldások optimalizálása több szolgáltatónál Teljes fejlesztési életciklusban való részvétel (fejlesztés, tesztelés, telepítés) agilis módszertanok alkalmazásával Szoros...

Development and issue resolution of in-vehicle data recording software Development and issue resolution of software for Upload Station Development and issue resolution of data preprocessing software Development and issue resolution of data migration software from previous data formats Development...

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...

Research, develop, implement, and test artificial intelligence algorithms to improve the quality and robustness of the static world model in automated vehicles Focus on road structure including lanes, curbs, and drivable trajectories Focus on traffic sign and traffic light detection including 3D...

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...

Building and optimizing scalable data warehousing and lakehouse solutions Creating and owning robust ELT pipelines connecting multiple internal and external data sources Designing and implementing data models aligned with industry best practices Contributing to architectural decisions with...

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 Certek kezelése, AMI updatek és patch folyamat...

Designing and developing proof of concepts (PoCs) Demonstrating solutions to internal customers on a tight schedule Utilizing GenAI no code, low code, and SDKs to build robust GenAI agents that automate business processes Taking GenAI and Agentic AI solutions from concept to Proof-of-Value (PoV)...

Maintaining and evolving existing data platform Building processes to ingest data from Kafka, APIs and Databases using AWS MSK Connect Development and maintenance of real-time data processing applications using frameworks like Spark Structured Streaming and Kafka Streams Applying transformations to...

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...