Data állások XXII. kerületben (programozó, fejlesztő)

• Understand and document data models, entities, and relationships across systems
• Analyze data flows and integrations between applications and databases
• Perform data extraction and reporting using SQL (Oracle and PostgreSQL)

• Design, development, and continuous improvement of the Data Warehouse environment 
• Development and optimization of ETL processes
• Administration and operation of complex SQL cluster environments 
• Re-engineering and modernization of existing SQL cluster architectures

• Develop and modernize .NET‑based MES components.
• Build integration with industrial systems (EBS, PI, LIMS, PLCs).
• Troubleshoot production issues and ensure system stability.
• Contribute to architectural decisions and modernization projects.

• 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

• AI-alapú termékeink és backend rendszereink fejlesztése, karbantartása
• API-k (FastAPI, Django REST) tervezése és implementálása
• Adatbázis-struktúrák és architektúrák kialakítása (PostgreSQL, ORM-ek)
• Adatbázis-tervezés és optimalizálás (SQL / NoSQL)

Solution Design: Architect finance-related solutions aligned with business and technical requirements across platforms such as SAP S/4HANA, Kyriba, Accelya, Skymetrix, Navitaire, and Dynamics AX....

• Design end‑to‑end application architectures aligned with enterprise architecture principles, standards, and strategic directions.
• Translate business requirements into robust, scalable and compliant solution designs covering applications, integrations, and supporting technologies.

• Ensuring the completion of development tasks to support the new release of projects/solutions.
• Supporting production requests or fixing issues
• Unit testing applications and reporting daily progress

• Learn devops principles
• Design and implement CI/CD pipelines
• Work with Ansible, Docker and Kubernetes and various PaaS solutions
• Study large scale, cloud native software architectures
• Gain experience working in agile DevOps methodology
• Gain experience working at a fast-growing, truly colourful company

Work in cross-functional agile teams alongside data scientists, machine learning engineers, product managers, and industry experts to innovate with clients and consulting teams Develop new or enhance existing assets Design and build robust, modular, scalable, and secure data pipelines for machine...

Designing predictive models Conducting large-scale experiments Uncovering insights that inform decision-making Defining and developing ontologies and knowledge graphs Establishing data standards and maintaining data quality Operationalizing models and graph services at scale Delivering and scaling...

Creation of Python code, tests, creation and modification of GitHub Action CICD pipelines Working with AWS-based infrastructure and Docker containers Deploying, debugging, and running systems Delivering and scaling AI solutions embedded in cross-functional teams Deploying assets on client service...

Building a world-class AI platform designed to be deployed across diverse sectors and functions Developing transformative technology for the firm Working within a product team of engineers, designers, and product managers to develop impactful AI solutions Combining software and data engineering...

Developing a highly optimized inference framework Running on the world’s largest supercomputers and data centers Working on innovative, next-generation products at the forefront of technology in terms of performance, scalability, and features...

Develop highly scalable services realizing AI/ML functionalities (e.g. NLP, ML and AI models) Implement various machine learning solutions addressing computer vision and NLP use cases Work with Large Language Models (LLMs), perform prompt engineering tasks Design and implement data transformation...

Manage a team of highly skilled engineers focusing on accelerated data processing solutions development Lead and motivate team to conduct projects meeting internal and external customer needs Collaborate with deep learning software engineering community to contribute to and improve open source code...

Use AI-assisted development as a core engineering approach to accelerate delivery, improve code quality, and reduce operational toil—while ensuring strong human review, test coverage, and controlled releases Own delivery of cloud-scale infrastructure and automation capabilities from design through...

Design, develop, and execute test plans, cases, and scripts for Odoo modules including Finance, Inventory, Sales, and Procurement. Conduct functional, integration, regression, and user acceptance testing. Validate Odoo customizations, configurations, and third-party integrations. Ensure accuracy of...

Deliver end-to-end Hardware/Software solutions bridging the gap between the world and our accelerators. Build and operate real-time, distributed compute frameworks and runtimes to deliver planet-scale inference for LLMs and advanced AI applications at ultra-low latency, optimized for heterogeneous...

Support Product Owners, project managers, and stakeholders by helping translate business needs into well-designed CRM capabilities. Build and enhance Salesforce solutions using Apex, Lightning Web Components (LWC), and Flow-first automation under the guidance of senior developers. Assist in...