Design and build a mobile application for a Transportation Management System using Kotlin Multiplatform and Jetpack Compose. Collaborate with a new mobile team to define application architecture and integrate logistics systems using LLMs.
The QA Automation Engineer will create and execute automated API integration tests and develop End-to-End tests for web and mobile applications. They are responsible for ensuring the stability of key purchasing and payment processes through robust test scenarios.
Develop an orchestrator application that integrates cloud and desktop services using Qt. Participate in the full software development lifecycle including requirements analysis, feature design, and testing within an Agile team.
Build and implement new Machine Learning models for recommendation engines and explore advanced neural network architectures in NLP and CV. Deploy models to large-scale infrastructure while optimizing performance and mapping model metrics to business KPIs.
The role involves the maintenance and development of an analog/mixed-signal simulator, focusing on existing C code and new functionality. You will work on algorithms that translate electronic circuits into digital models and collaborate internationally with teams in the US.
You will design and maintain data pipelines using Apache Airflow while collaborating with Data Science teams to deploy models. Additionally, you will develop automated test scripts and conduct end-to-end testing across front-end, API, and database layers.
Develop and maintain a large-scale native Android application with over 10 million users, focusing on performance and quality. Design and implement efficient CI/CD pipelines while ensuring scalable architecture using MVVM and Clean Architecture.
Design and develop scalable microservices using Hexagonal Architecture and event-driven design patterns. Maintain system architecture, implement automated testing strategies, and utilize AI-assisted development workflows.
Manage the full project lifecycle for PLM, MOM, or ERP implementations, including migrations, upgrades, and integrations. Lead internal technical teams and subcontractors while maintaining direct engagement with customers at both operational and strategic levels.
You will be responsible for building and maintaining production ML services within the AdTech domain, ensuring model stability and operational performance. Additionally, you will manage the ML lifecycle, including orchestration, deployment strategies, and observability in a GCP-based containerized environment.
Define product problems, shape roadmaps, and deliver measurable business results for ML scoring in a marketplace advertising platform. Coordinate discovery and delivery processes between engineering, data science, and business stakeholders to ensure strategic alignment.
Design, train, and optimize machine learning and deep learning models for advertising and ranking systems. Collaborate with engineering and business teams to translate objectives into effective ML solutions while mentoring other data scientists.
You will be responsible for designing, implementing, and refactoring financial software functionalities while maintaining high code quality. Additionally, you will collaborate with the MR Facturation team to manage technical decisions and maintain CI/CD pipelines and cloud infrastructure.
You will build production-ready AI backends, RAG pipelines, and agentic workflows to automate complex business processes. Additionally, you will collaborate with international cross-functional teams to deliver predictive models and computer vision solutions.
The developer will support the core sales team on the S/4HANA template and assist S/4HANA rollout teams across various regions. Responsibilities include handling change requests and developing solutions in the Order Management (SD) area like Pricing, Invoicing, and EDI.
