Machine learning software engineer állás, munka

• Tests and integrates BSS (Business Support Systems) systems into the operator’s existing IT environment.
• Ensures different modules (billing, CRM, customer management, etc.) work together smoothly.
• Identifies issues, analyzes system logic, and helps resolve technical problems.

• Development of automated functional and safety tests for embedded systems
• Design and implementation of software tests in Python
• Execution and evaluation of software tests
• Preparation and maintenance of software test documentation
• Solving general test automation tasks

• Development of automated functional and safety tests for embedded systems
• Design and implementation of software tests in Python
• Execution and evaluation of software tests
• Preparation and maintenance of software test documentation
• Solving general test automation tasks

• Designing and developing data-driven solutions using machine learning, language models, and statistical modelling,
• Analysing, interpreting, and visualizing data to support business opportunities,
• Preparing and delivering presentations of results to management and clients,

• Support the Enterprise Analytics team in developing advanced AI and analytics solutions.
• Analyze existing processes and propose automation strategies to improve efficiency.
• Contribute to codebase development with a fresh, innovative perspective.

• Work with OPCM and business teams to understand Data Science and AI-based solution requirements and translate them into technical needs.
• Decrypt and translate business problems into technical solutions and to vulgarize complex and technical topics to non-experts.

Overseeing all front- and back-office activities to ensure the workplace operates smoothly-this includes reception tasks, coordinating security services and keeping everyday office processes on track...

Join our team and you'll be responsible for developing robust machine learning models and deploying them at scale, bridging the gap between data science and production-ready systems. Working in the AI Labs Team you will collaborate in an innovative environment where technical excellence is valued,...

Implement, integrate, configure, enhance, and maintain Kubernetes/Helm/Java-based microservices Develop automated test cases in Java to verify both functional and non-functional requirements Collaborate with teammates and cross-functional teams Be involved in all steps of development, testing,...

• You will take a key role in developing our secure edge platform for real-time data processing applications.
• You will design, implement, and evolve robust, and observable platform components, APIs and SDKs for developing, deploying, and operating real-time applications.

Create robust, scalable, and secure microservices that power our SaaS platform for governance Leverage AWS (serverless or migrations) with TypeScript Own services end-to-end (code, deployment, monitoring) Drive architecture discussions Regularly demo to the department Shape AI strategy by leading...

• Design, develop, and maintain applications.
• Optimize and enhance existing applications and infrastructure.
• Ability/interest to work with machine learning.
• Collaborate and communicate with various teams within the company.
• Ensure all applications reflect our internal policies and standards.

• Implement and productionise ML-based services using Sagemaker
• Work on NLP and LLM projects, applying your expertise to contribute to and build on our existing solutions.
• Utilize IaC and CI/CD best practices to increase the efficiency in deployment and management of resources.

• System Design: Develop software systems for large-scale robotic data collection, ensuring reliability and scalability.
• Engineering Principles: Apply structured practices to build maintainable, modular, and testable codebases.

Design and implement the frontend from UI mockups to Figma designs, evaluating feasibility, complexity, and implementation impact for optimal user experience. Own and deliver well-defined frontend stories independently, with a strong understanding of architecture, frameworks, and tools. Drive code...

• Work closely with world leading experts in the field of Machine Learning and Video Editing
• Directly work in the core processing, render and ML code of our video and audio applications.
• Enhance your skills to remain at the forefront of the newest development, testing, and deployment techniques

Architect and deliver secure, high-performance microservices primarily on AWS using infrastructure-as-code tools such as Terraform and AWS CDK Deliver end-to-end software solutions in Python and Node.js, including development, deployment, monitoring, and production support Set technical direction...

Create robust, scalable, and secure microservices that power our SaaS platform for governance Leverage AWS (serverless or migrations) with C#, .Net and Angular Own services end-to-end (code, deployment, monitoring) Drive architecture discussions Regularly demo to the department Shape AI strategy by...

• Design and lead development of AI products for business-specific use cases.
• Mentor and guide the software engineering team, setting clear technical directions and providing architectural oversight.

The Department of Translational Medical Oncology investigates the molecular and cellular mechanisms for cancer development, proliferation, and evolution. To strengthen our expertise in bioinformatics and machine learning, we are offering a position for a highly motivated scientist with significant...