The Formula Consulting

• You develop a next-generation localization product featuring a learned map architecture. • You design and implement visual and acoustic sensor systems for drone detection. • You develop a multi-sensor perception and fusion system for the drone early-warning system. • You design, build, and maintain scalable models and deploy model inference directly onto drone detection devices. • You implement scalable intelligence with low-latency intelligence. • Together with ML, MLOps, and DevOps teams you enable fast and secure deployments. • You monitor systems, troubleshoot faults, and continuously improve observability.

• You will be part of a team of 35 engineers passionate about sensor technology, embedded systems, critical infrastructure, and fleet management. • Together with your team you will take on the following responsibilities: • You design, build, and maintain scalable infrastructure for AI-powered applications and deploy models directly onto drone detection devices. • You take ownership of CI/CD pipelines and optimize them to enable fast and secure deployments. • You optimize system reliability, performance, and security. • You ensure that systems operate reliably in offline mode. • You automate infrastructure using Infrastructure as Code (e.g., Terraform). • You monitor systems, resolve incidents, and continuously improve observability. • If you wish, you support field teams collecting sensor data on-site in Berlin or other locations across Europe and validate the technology in field trials.

• Join a team of 35 tech sassy Internet of Things and Sensor Technology engineers. • Partnering with your team, you: run Machine Learning and AI models directly on local IoT sensors (rather than on cloud servers). • Design, build, and maintain scalable infrastructure for AI-driven applications and bring model inference onto drone detection devices. • Implement scalable, low-latency intelligence at the edge. • Own and optimize CI/CD pipelines to enable fast and secure deployments. • Ensure system reliability, performance, security, low-latency predictions and offline operation in sensitive, mission-critical environments. • Work closely with ML engineers to deploy and scale models in production. • Automate infrastructure using Infrastructure as Code (e.g., Terraform). • Monitor systems, troubleshoot incidents, and continuously improve observability. • (if you want) support field operations by acquiring sensor data on site in Germany, Poland or Hungary and validating the technology through controlled field trials.

• You join a team of 35 tech sassy Internet of Things and Sensor Technology engineers. • Partnering with your team, you design, build, and maintain scalable infrastructure for AI-driven applications and bring model inference onto drone detection devices. • Own and optimize CI/CD pipelines to enable fast and secure deployments. • Ensure system reliability, performance, security, low-latency predictions and offline operation in sensitive, mission-critical environments. • Work closely with ML engineers to deploy and scale models in production. • Automate infrastructure using Infrastructure as Code (e.g., Terraform). • Monitor systems, troubleshoot incidents, and continuously improve observability. • (if you want) support field operations by acquiring sensor data on site in Germany, Poland or Hungary and validating the technology through controlled field trials.

• Join a team of 35 tech sassy Internet of Things and Sensor Technology engineers. • Partnering with your team, you: design, build, and maintain scalable infrastructure for AI-driven applications and bring model inference onto IoT devices. • Implement scalable, low-latency intelligence at the edge. • Own and optimize CI/CD pipelines to enable fast and secure deployments. • Ensure system reliability, performance, security, low-latency predictions and offline operation in sensitive, mission-critical environments. • Work closely with ML engineers to deploy and scale models in production. • Automate infrastructure using Infrastructure as Code (e.g., Terraform). • Monitor systems, troubleshoot incidents, and continuously improve observability. • Sometimes you support field operations by acquiring sensor data on site in Germany, Poland or Hungary and validating the technology through controlled field trials.

• As the second in-house hire for SAP S/4HANA SD, you will support the technical lead in further developing the SAP landscape. • In close cooperation with the business departments, you will optimize SAP processes. • You will assist with customizing, debugging, testing, rollouts, and support. • You will work with internal colleagues and external consultants. • You will review and test ABAP adjustments made by your colleagues. • You will support the functional lead in preparing and delivering training for newly implemented features and customizations. • Your team is responsible for all SAP SD-related questions across the different business units. • After onboarding, you will partly take over requirements management and assist with second-level support.

• Als zweite Person, die im SAP S/4HANA MM-Bereich intern eingestellt wird, unterstützt du die technische Leitung in der Weiterentwicklung der SAP-Landschaft. • In enger Zusammenarbeit mit den Fachbereichen optimierst du die SAP-Prozesse. • Du hilfst beim Customizing, Debugging, Testing, Rollout und Support. • Du arbeitest mit internen Kolleg:innen und externen Berater:innen zusammen. • Du überprüfst und testest die ABAP-Anpassungen deiner Kolleg:innen. • Du unterstützt die fachliche Leitung bei der Vorbereitung und Durchführung von Schulungen für die neu implementieren Features und Customizings. • Dein Team ist zuständig für alle Fragen zu SAP MM der unterschiedlichen Fachbereiche. • Nach der Einarbeitung übernimmst du teilweise das Anforderungsmanagement und hilfst im Second-Level-Support mit.

• Join a team of 35 tech sassy Internet of Things and Sensor Technology engineers. • Partnering with your hiring manager, you: Design, build and maintain scalable infrastructure for ML models. • Collaborate closely with AI/ML teams to bring models reliably into production. • Manage model versioning, experiment tracking, and reproducibility. • Implement CI/CD for ML systems. • Ensure performance, reliability, and security of deployed models in critical environments. • Set up monitoring, logging, and alerting for model performance. • Sometimes you support field operations by acquiring sensor data on site and validating the technology through controlled field trials.

• You join a team of 35 tech sassy Internet of Things and Sensor Technology engineers. • Partnering with your hiring manager, you: • Design, build, and maintain scalable cloud infrastructure for AI-driven applications. • Own and optimize CI/CD pipelines to enable fast and secure deployments. • Ensure system reliability, performance, and security in sensitive, mission-critical environments. • Work closely with ML engineers to deploy and scale models in production. • Automate infrastructure using Infrastructure as Code (e.g., Terraform). • Monitor systems, troubleshoot incidents, and continuously improve observability. • Sometimes you support field operations by acquiring sensor data on site and validating the technology through controlled field trials.

• As the first senior hire in the SAP S/4HANA SD area in-house, you will take on a technical leadership role in the further development of the SAP landscape. • In collaboration with the business units, you optimize SAP processes and further develop requirements. • You provide technical guidance to other internal colleagues and external consultants. • You also code ABAP customizations yourself. • You conduct training for the new features and customizations you implement. • You are the first point of contact for all SAP MM questions across various business areas. • You take on requirements management and are active in second-level support.