Machine learning software engineer állások, munkák it, fejlesztési vezető kategóriában

• You’re part of a Software Engineering Scrum team.
• You take the lead in our team for the further improvement of our ML models, as well as ensuring the models run reliably in production.

• Work with Product Managers and UX designers to specify new features and improve our products.
• Develop those new features with the end user in mind, and write unit tests and integration tests for them.
• Lead the definition of the architecture of our applications on AWS.

Design, develop, and deploy advanced ML models, with a focus on optimizing Large Language Models (LLMs) for diverse NLP and multimodal applications (text, image, structured data) and Visual Language Models (VLM)...

• New development and extension of our applications in the area of control systems and business intelligence applications in intralogistics
• Development of concepts and architecture-compliant solution proposals
• Taking responsibility for new features and applications in WCS and MHE software services

• Deliver creative customer facing features to bring German users on chain.
• Articulate a long term vision for maintaining and scaling our backend systems.

• 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.

• Design, develop, test, and ship robust, maintainable, and readable web applications
• Bring in industry standards and best practices to continuously simplify the current software architecture to reduce complexity and maintenance cost
• Solve hard problems where lateral thinking is required

In 18-24 months, you will go through various stations in Germany and abroad, taking on responsible tasks in the areas of application, software services, software and function development (requirements engineering, function development, validation and verification, virtualization, big data, and...

• Flexible Start Date: Choose the start date that works best for you and decide when your permanent employment contract begins.
• Customized Program: Design your program with 4-5 stations in agile product areas, corporate start-ups, or classic line organizations.

• You will take technical responsibility for complex, cross-functional AI initiatives - from requirements analysis through to implementation.
• Furthermore, you will independently identify, evaluate, and manage AI-related projects.

Product vision: Drive the vision of your products and understand how it is embedded in the overall product and corporate strategy, with particular focus on identifying opportunities that can transform user experiences and create competitive advantages. ...

Design and deliver complex mission-critical projects across our key business areas (e.g., pricing, supply chain, order/warehouse planning)....

As a Senior Program Manager in the Data & Analytics Unit, you will identify, launch & steer innovative projects in the field of data foundations and data insights (including ML). In this role, you will be responsible for the planning and successful execution of multiple data-driven business...

• Defining the technical design of the system
• Refining and estimating Use Cases
• Implementation of domain and cross-cutting services in a team of up to 5 developers
• Close collaboration with Product Owners, Architects, and other Software Engineers

Translate complex business challenges into scalable data and AI products, guiding them from ideation to implementation. Use cases span pricing intelligence, sales rep activity planning and shop assortment optimization....

• You will take overall technical responsibility for complex, cross-functional AI initiatives - from requirements analysis through to implementation.
• You will independently identify, evaluate and manage AI-related projects.

• You create advanced AI approaches for general-purpose robotics, with a focus on robotic foundation models.
• Furthermore, you train, finetune, evaluate, and deploy models such as vision-language-action architectures.

Build high-performing, AI-enabled teams that deliver real value fast—especially within our Budapest Global Center for Product Innovation Lead engineering for one or more of our strategic products, driving design, delivery, and quality across multiple agile teams Define technical strategy, system...

• Design, configure, and optimize interactions with LLMs through retrieval-augmented generation (RAG), and orchestration.
• Implement tool-calling patterns to integrate LLMs with SaaS tools and APIs.
• Leverage fine-tuning or parameter-efficient techniques for performance enhancement.

• Partner with stakeholders to identify, design and evaluate AI solutions by translating complex business challenges into practical ML and GenAI use cases
• Lead data-driven projects, from requirements analysis to implementation, with a strong focus on business impact