Data állások XXIII. kerületben (ai és automatizáció)

Design and propose changes to current data systems including migration paths and modernization strategies for legacy architectures Define and evolve the target architecture for data platforms covering ingestion, storage, processing, and consumption layers Design and implement batch and...

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 Design and management of data lakes and Lakehouse...

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...

Chunking and ingestion architecture with deterministic, validation-gated pipelines handling diverse enterprise document types with indexing and contextual enrichment Retrieval pipeline with vector search, BM25 hybrid retrieval, RRF re-ranking, embedding model selection and optimisation Agent...

Design, build, and maintain internal developer tools, platforms, and workflows used across Tulip's engineering organization Own and improve CI/CD infrastructure to reduce build times, increase reliability, and enable faster iteration Identify and eliminate friction in the developer experience...

Development of highly scalable services realizing AI/ML functionalities Implementation of machine learning solutions for computer vision and NLP use cases Work with Large Language Models (LLMs) and perform prompt engineering tasks Design and implementation of data transformation services for use...

Building high-performing, AI-enabled teams within Budapest Global Center for Product Innovation Leading engineering for strategic products with design, delivery, and quality across multiple agile teams Defining technical strategy, system architecture, and integration of AI/ML-powered components...

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...

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 (e.g. NLP, ML...

Build and evolve CI infrastructure validating performance methodologies across cloud, on-prem, and hardware targets Design controlled, reproducible test environments to distinguish real regressions from environmental noise Build synthetic workloads and targeted microbenchmarks including Arm...

Outbound and inbound lead generation campaigns execution through HubSpot and LinkedIn Sales Navigator Research and identification of potential clients in target industries such as IT services, fintech, manufacturing, and enterprise transformation Creation and automation of personalized email...

Design and own end-to-end solution architecture across distributed systems and cloud environments Translate business requirements into scalable technical solutions with clear articulation of trade-offs Define and drive non-functional requirements including performance, scalability, security,...

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 and delivery of secure, high-performance microservices on AWS Driving architecture decisions and empowering team members through mentorship Setting technical direction across multiple teams Spotting system pain points and proposing improvements Pioneering AI-driven solutions by advising on...

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 Optimizing and implementing core ML...