E-learning állások XIV. kerületben (it programozás, fejlesztés)

• collaborating on the design and development of ML‑based applications and their backend components
• helping to select the most applicable solutions for a given business problem
• writing clean, efficient and well‑documented code
• contributing to our MLOps processes

• Tapasztalat gépi látás vagy AI fejlesztésben
• Magabiztos C++ és/vagy Python tudás
• Analitikus gondolkodás és önálló problémamegoldás
• Innovatív szemlélet és csapatmunka
• Computer Vision / OpenCV
• Deep Learning / PyTorch
• 2D–3D képfeldolgozás
• CNN / Vision Transformer
• Robotika / ROS / ROS2
• C++ / Python

• 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 

• Develop and operationalize solutions across classical AI/ML/DL and generative AI use cases
• Build, evaluate, and optimize machine learning and deep learning models for business applications
• Integrate data and AI services from APIs, third-party platforms, cloud services, and internal systems

• Design and build AI, automation, and innovation products at enterprise scale
• Translate emerging technology into production-ready software and commercial outcomes
• Design and deploy AI infrastructure and agentic workflows to support product delivery

• Lead enterprise and solution architecture across complex, multi-stakeholder environments, from greenfield platforms to legacy transformation
• Define and own API strategy, governance frameworks, and integration patterns at organisational level

• Build and maintain internal tooling and UIs — workflow dashboards, content review interfaces, and evaluation visualization.
• Develop backend APIs using Typescript and Node.js that integrate with the agentic workflow platform.

• You will be responsible for working with senior engineers and contributing to the immediate development and improvement of the Aladdin platform
• You will gain a broad understanding of the investment process as well as the capabilities and functionalities of Aladdin

• 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.

• Develop, update, and maintain HTML emails, responsive landing pages and microsites used in marketing campaigns.
• Collaborate with marketing automation specialists, designers, copywriters, campaign managers and field marketing managers to ensure digital assets meet brand and usability standards.

• Lead Digital Factory‑level roadmap development, spotting risks, dependencies, and mitigation actions early
• Drive strategic, cross‑functional transformation initiatives within Digital Factory (and potentially beyond)

• taking part in large IT projects as a subject matter expert, depending on your previous experience (e.g. architecture design, IT system and IT landscape reviews, vendor selection, quality assurance)
• analyzing clients’ IT environments, applications, and architecture landscapes

• 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

• Learn QA/testing principles
• Design and implement automation end to end tests
• Work with Playwright or similar testing frameworks
• Learn large scale, cloud native software architectures
• Work in agile development methodology
• Gain experience working at a fast-growing, truly colourful company

• 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

• Ensuring the completion of development tasks to support the new release of projects/solutions
• Grooming user stories with Product Owner
• Supporting production requests or fixing issues
• Unit testing applications and reporting daily progress on daily stand-up meetings

• Develop, update, and maintain HTML emails, responsive landing pages and microsites used in marketing campaigns.
• Collaborate with marketing automation specialists, designers, copywriters, campaign managers and field marketing managers to ensure digital assets meet brand and usability standards.