Machine learning állások IV. kerületben (adatbázisszakértő)

• Learn Generative AI principles and models
• Learn Large Language Models, Natural language processing
• Work with Different generative AI Tools and uses
• Learn the LLMs, NLP fundamentals, Transformers, and attention mechanism
• Build Custom dataset for LLM, Build your own custom chatbot/AI bot/custom GPT

Act as the key link between business and delivery teams, ensuring alignment with enterprise standards (architecture, security, compliance) and providing clear visibility on progress, risks, and trade-offs to senior stakeholders....

• Making architectural decisions and conducting code reviews,
• Mentoring junior developers and leading the team,
• Designing and building scalable AI data pipelines,
• Developing LLMs (Large Language Models) and AI agent systems,
• Efficiently processing large volumes of data using Python,

• Design and build Agentic AI systems (planner/executor patterns, tool calling, memory strategies)
• Adapt and deploy LLMs, including fine-tuning and optimizing performance
• Implement and improve RAG (retrieval-augmented generation) pipelines

az ingatlancom Zrt és a Használtautóhu Kft. riporting igényeinek teljes körű menedzselése, (Tableau-t használunk) dbt modellek készítése, stakeholderekkel aktív kapcsolattartás, proaktív részvétel különböző AI projektekben....

• Aktív részvétel a vállalat modern, Databricks‑alapú adatplatformjának fejlesztésében és üzemeltetésében
• ETL/ELT adatfeldolgozási és -betöltési folyamatok tervezése, fejlesztése és karbantartása különböző forrásrendszerekből származó strukturált és strukturálatlan adatokhoz

• Collaborate to the building, improvement and optimisation of the Customer Analytics process and related systems.
• Contribute to the development of the Customer Analytics Roadmap and translate it into actionable plans.

• Keep our data pipelines healthy — monitor Databricks jobs daily and check infra health dashboards.
• Run predefined diagnostics and flag unusual behaviour with clear documentation.
• Do first‑level troubleshooting — reading logs, checking error codes, running SQL validations.

• Keep our data pipelines healthy — monitor Databricks jobs daily and check infra health dashboards.
• Run predefined diagnostics and flag unusual behaviour with clear documentation.
• Do first‑level troubleshooting — reading logs, checking error codes, running SQL validations.

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 Leveraging modern AI and machine-learning techniques including large...

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...

Support Daily Data Production Workflows Across Multiple Asset Classes Including Fixed Income Curves, Futures, Derivatives, And Equity Analytics Perform Quality Assurance Checks On Incoming Vendor Data And Internally Generated Analytics Assist With Investigating Data Quality Issues Such As Pricing...

Support of daily data production workflows across multiple asset classes Performance of quality assurance checks on incoming vendor data and internally generated analytics Investigation of data quality issues such as pricing discrepancies, missing data, and analytical outliers Maintenance support...

Management of marketing data across CRM, Snowflake, and other MarTech platforms Ensuring data accuracy, governance, privacy, and compliance standards Conducting advanced analysis and segmentation for audience targeting and personalization Supporting data-driven decision-making across campaigns,...

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 Influencing AI adoption through AI first solution...

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...

Delivery on complex data engineering projects across industries Leading small delivery teams Managing customer relationships alone or with a Project Manager Mentoring more junior engineers Evaluating quality of junior engineers' work Contributing to hiring best-in-class data engineers...