E-learning állások XXIII. kerületben (ai és automatizáció)

Design, implement, and optimize machine learning models to solve complex business problems Oversee the entire machine learning lifecycle from data collection and pre-processing to model deployment and monitoring Collaboration with data scientists, software engineers, and product managers to...

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...

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...

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...

Design of highly customizable, scenario-based ethics and compliance training Integration of adult learning best practices and meaningful gamification Management of learning development and customization projects end-to-end Balancing customer customization work with new product development...

Design, implement, and evolve platform architecture processes and their integration with connected enterprise systems Develop, enhance, and maintain automation modules and frameworks primarily using PowerShell and C# Build and manage automation tools and scripts leveraging REST APIs to integrate...

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...

Maintaining and evolving AI/ML projects using Python Building design Agentic LLM based solutions and maintaining/improving existing ones Ensuring output quality by verifying consistency and accuracy Investigating, assessing, and developing cloud based MCP solutions Working under Agile Framework...

Lead multiple client accounts and engineering engagements simultaneously Establish scalable team structures and operating models aligned with client and business needs Ensure delivery predictability, execution quality, and sustainable team performance Drive effective governance practices, delivery...

End-to-end AI solution ownership from problem definition through prototype validation and production support Partnership with product managers and business stakeholders to translate real-world problems into data science and AI initiatives Independent planning and execution of research,...

Ownership and evolution of Cypress + TypeScript E2E automation framework Integration of automated test suites into CI/CD pipelines Research and implementation of load and performance testing strategies Application of AI-assisted tools for test generation and failure triage Identification of AI...

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...

Design and implement agent-to-agent communication patterns and multi-agent collaboration workflows Integrate LLMs, RAG pipelines, and external APIs/tools into end-to-end agent systems Develop, test, and iterate on orchestration logic including routing, planning, tool selection, error handling, and...

Architect and implement cloud-native data solutions using GCP (BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Composer, Cloud Storage) Lead the design and development of complex data pipelines and distributed processing frameworks that ensure scalability, performance, and operational reliability...

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...

Design, implement, and maintain cloud-native infrastructure on AWS or Azure Manage and optimize Kubernetes clusters and containerized applications Build and maintain Infrastructure as Code using Terraform Deploy and manage applications using Helm Charts Develop automation scripts and tools in...

Design Azure cloud infrastructure to support Databricks and data platform workloads Implement Azure cloud infrastructure to support Databricks and data platform workloads Manage Azure cloud infrastructure to support Databricks and data platform workloads Build Azure resources including Resource...

Implementation and maintenance of large-scale data pipelines and the Azure/Databricks data platform Collaboration with the Architect in design discussions and proposals Building robust, scalable pipelines using Azure Databricks (PySpark / SQL) Integration of data ingestion, processing,...

Operation and support of Global Directory (LDAP) services across multiple environments Manual data maintenance and user management Manual interventions such as copying users between environments and maintaining directory data consistency Development, customization, and maintenance of LDAP scripts...