Embedded software developer ai állás, munka

• Model Development: Design, train, and fine-tune machine learning models using large-scale datasets to solve complex problems.
• Data Management: Collect, clean, and preprocess data to ensure high-quality inputs for AI systems and model training.

• Design and develop APIs and backend services using MuleSoft Anypoint Platform and Java.
• Build scalable, secure microservices and integration solutions.
• Collaborate with product managers, designers, and QA engineers to deliver high-quality features.

Oversee the IT in-structure and security for offices and factories; Provide on-site LV1 and LV2 IT support....

• Lead the design of scalable, secure Salesforce architectures across Marketing Cloud, Data Cloud, and Loyalty Cloud
• Translate complex business requirements into enterprise-level technical solutions

• Act as NIS2 Integration Expert, bridging the German KRITIS team with other EU member states' critical infrastructure teams.
• Manage Cross-Border Integration of security protocols, processes, and controls in accordance with NIS2.

• As an experienced software developer you create smart and efficient software solutions for network communication (LAN, WLAN, WAN).
• You develop concepts and contribute to specify the software architecture with a focus on network performance and Software-Defined-Networking (SDN).

Running a lot of builds and tests on a lot of architectures, operating systems, and devices. Collecting a lot of data and working collaboratively to brainstorm and build infrastructure and tools to make sense of it all. Building relationships that allow us to work together as a team, not a group....