E learning állások XXIII. kerületben (adatbázisszakértő)

• End-to-end AI/ML alkalmazások fejlesztése és üzemeltetése: fejlesztés → üzembe helyezés → éles üzem támogatása
• Modell - és adatpipeline - ok felépítése több adattípusra: táblázatos adatok, NLP, képfeldolgozás, idősorok, online learning területeken

• 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....

• Translate client needs into technical solutions 
• Design data-driven systems using Databricks and Azure 
• Build ingestion and transformation pipelines using SQL, Python, dbt 
• Automate data workflows 
• Participate in sprint planning and deliver reliable solutions 

• Design and maintain robust, scalable data architectures
• Build and optimize high‑performance data models for analytics
• Partner with business and engineering teams to shape data solutions end‑to‑end
• Lead data integration, transformation, and migration efforts

• 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.

• Learn data engineering principles
• Learn to design and implement ETL processes and pipelines
• Work with SQL, Python and different programming languages and notebooks
• Learn Power BI report building, Data Bricks and various ETL tools

Data Exploration, Profiling, Cleansing, and Preprocessing Design and Management of Workflows for Storing and Retrieving Vectorised Documents Application of Embedding Models for AI‑Driven Solutions Leveraging Modern AI and Machine‑Learning Techniques Including Large Language Models and Agent‑Based...

Unifying application logic and data architecture into a coherent, scalable, and reliable system Standardizing data design and usage Establishing clear ownership of the data layer as a core platform asset Driving consistency across services, databases, and integrations Transforming backend and data...

Vectorization of 2D data Manual 2D/3D GIS data manipulation QA/QC of point cloud classification Database handling Editing and preparing of 2D vector and 3D point cloud data for further processing Documentation creation including standard operation procedure, training documents, and other technical...

Quality control of acquired field data Mobile Laser Scanning trajectory processing Terrestrial and mobile laser scanning data post-processing Alignment and adjustment of different measurements Quality control of post-processed data Solving GIS related tasks of processing Camera adjustment Data...

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 Investigate Data Quality Issues Such As Pricing Discrepancies,...

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...

End-to-end MES project implementations Solution analysis including assessment, requirements, process design, and solution design Solution implementation including configuration, development, and testing Implementation and support of VB.NET based software solutions Participation in the run and...

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...

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...

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...

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...