Machine learning állások, munkák rendszerintegrátor kategóriában

EZEK LESZNEK A FELADATAID: • A mesterséges intelligencia (AI) alkalmazási lehetőségeinek feltérképezése a szoftvertesztelés különböző területein: • Teszt dokumentáció generálás • Teszt forráskód generálás • Review automatizált elvégzése • Teszt riportok automatizált generálásának vizsgálata és...

• Design, development and deployment of scalable, resilient and high-performance components for the Wise Assistant
• Ownership of intent detection systems, contact processing pipelines and routing logic for automation solutions

• Building and optimizing inference pipelines for large-scale model serving
• Working with frameworks like PyTorch, TensorRT, and vLLM to deploy models efficiently
• Implementing and optimizing ML models using techniques such as quantization, kernel fusion, and efficient batching

Building efficient and scalable ETL/ELT processes to ingest, transform, and load data from various structured and unstructured sources (databases, APIs, streaming platforms) into BigQuery and Cloud Storage...

Own and evolve the technical platforms for AI and automation across Cembra, acting as the technical expert for Microsoft Power Platform, Copilot Studio, and Customer Center...

Architecture & Infrastructure: Set standards for infrastructure, access, and deployment with IT, security, and the ML & AI engineers. Build all AI platform components with Terraform on top of the AWS foundation and GitLab setup of our cloud engineering team....

• Development and implementation of interfaces between clinical data sources, medical knowledge bases, and local LLM/agent-based systems
• Development of high-performance data pipelines for loading, structuring, validating, and further processing interoperable health data

• Develop and evaluate concepts for interactive guidance in navigated ENT surgery
• Design and implement proof-of-concept applications for surgical navigation systems
• Apply technologies such as computer vision, augmented reality, machine learning, and human-computer interaction

You architect cloud and hardware solutions to scale AI workloads across GPUs and accelerators, while optimizing storage and networking for throughput, resilience, and cost efficiency....

• Work as a full-stack developer in a very small, agile team with high responsibility, from coding to deploying and operating on AWS
• Independently develop brand-new features and responsive UIs for desktop, tablet, and mobile across our apps using React and Next.js

Design and maintain comprehensive solution architecture and technical design documentation, while delivering robust integration and backend solutions for enterprise applications and services...

Drive the implementation, transition, and operationalization of customer service, CRM, and contact centre solutions from project delivery into stable production operations and ongoing service ownership....

• Define and implement cloud infrastructure and observability tooling - Be a passionate software developer
• Support and develop complex and innovative shared development utilities
• Create and maintain automation processes
• Implement cloud services - Develop holistic software modules

• Connect the dots: build API and messaging integrations between banking applications and external screening providers.
• Keep the engines running: monitor, troubleshoot and improve systems supporting sanctions, PEP, adverse-media and transaction screening.

• Understand the business - Assess and support the business objectives for digital products and services from a Cloud Applications point of view
• Define the architecture - Create structures of distributed systems in close collaboration with other experts

Manage and continuously improve key branding and corporate communications platforms, including Digital Asset Management systems, brand portals, content management systems and publishing environments....

Assess customer machines and systems, both modern and legacy equipment, to find out what data is available, what needs to be upgraded, and how to get it....

• You understand our platform architecture, existing integrations and tech stack (C#/.NET, MongoDB, Docker, Kubernetes, GCP/Azure) deeply enough to independently plan and ship features and integrations.
• You've shipped your first hardware provider integration or significantly improved an existing one.

• Develop, maintain and optimize Python and Linux shell scripts for data extraction, transformation, and loading.
• Build automated pipelines and reusable code modules to support recurring reporting and analytics workloads.
• Ensure accuracy, completeness, and consistency of datasets.

• Build and contribute to cloud-native software applications and developer tooling.
• Explore modern technologies across artificial intelligence, AI agents, mobile development, and cloud platforms.
• Automate development workflows to make software and product development faster, simpler, and more reliable.