Engineering állás innen: Magyarország

2025. 07. 17. | Teljes munkaidõ | Budapest | WiseAnd Concurrent Systems Experience with machine learning basics (data pipelines, feature engineering, recall/precision, familiarity with machine learning systems in production) is a huge plus A strong product mindset and passion for user experience, you prioritise work with the customers in mind and make data

2025. 07. 17. | Teljes munkaidõ | Budapest | Jaguar Land RoverGeneration of our iconic brands. Come, create an exceptional future. This role is responsible for Creating and developing Features and Capabilities for JLR Propulsion systems from the Functional Layer team in Hardware system integration department using a system engineering model base approach in the logical

2025. 07. 17. | Teljes munkaidõ | Budapest | Bonapoliaengineering roles. ● Proficient in Python (FastAPI, Pydantic) and/or TypeScript, Go. ● Experience with model deployment, vector databases, or embedding search. ● Strong understanding of ML lifecycle, including logging and evaluation metrics. ● Hands-on experience with Hugging Face, LangChain, LlamaIndex

2025. 07. 17. | Teljes munkaidõ | EpamDescription EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams

2025. 07. 17. | Teljes munkaidõ | UnisysTo measure the accuracy, impact, and business value of knowledge recommendations generated by the system. Collaboration Partner closely with Product, Data Engineering, and Customer Success teams to translate business requirements into ML solutions and ensure the system delivers measurable value

2025. 07. 17. | Teljes munkaidõ | MOL MagyarországRegionally. Our engineers are innovators with a passion for business, user behavior, and data. They excel in communication, build strong relationships with non-engineers, and navigate product/engineering tradeoffs with ease. With a focus on quick product validation and end-to-end feature ownership

2025. 07. 17. | Teljes munkaidõ | UnisysTo measure the accuracy, impact, and business value of knowledge recommendations generated by the system. Collaboration Partner closely with Product, Data Engineering, and Customer Success teams to translate business requirements into ML solutions and ensure the system delivers measurable value

2025. 07. 17. | Teljes munkaidõ | MasterCardAnd automation, deployment and maintenance - Propose comprehensive solutions, write and review design documentations, estimate and plan the engineering work - Drive