Engineering supervisor állások Abonyban (it programozás, fejlesztés)

A comprehensive understanding of our production areas, including aseptic production, bottle blowing, and water/syrup manufacturingaseptic and soft sparkling drink production lines, maintenance, utility, quality and continuous improvement. ...

Work with Site Reliability Engineering (SRE) team on the shared full stack ownership of a collection of services and/or technology areas Understand the end-to-end configuration, technical dependencies, and overall behavioral characteristics of production services Responsible for the design and...

Programming in languages relevant to AI (e.g., Python, Java) Using modern AI/ML frameworks and platforms (e.g., TensorFlow, PyTorch, Oracle Cloud AI services) Enterprise software development including REST APIs, microservices, and cloud-native architectures Translating business needs into scalable...

Understanding the purpose of the developed application Understanding the user requirements for a modern interface Developing high quality software components for biotechnological applications Developing user interface, fitting to meet the latest (often changing) requirements Application of agile...

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...

Developing scalable library software using modern tools and languages for various numerical method. Performance tuning, optimization, and benchmarking of algorithms on various architectures. Working closely with leadership team and other internal and external partners to understand feature and...

Translating business needs into scalable AI solutions Developing enterprise-grade AI solutions Working effectively in a collaborative, multi-disciplinary, and global team environment...

Design, train, and optimize machine learning models for real-world applications. Build end-to-end ML pipelines including data preprocessing, feature engineering, model training, validation, and deployment. Collaborate with data engineers and software developers to integrate ML models into...