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AI Full-Stack Engineer / Developer(m/w/x)

Xylem Inc
Schaffhausen

Du entwirfst und implementierst KI-Modelle, integrierst KI-Dienste in Anwendungen und optimierst deren Leistung in Produktionsumgebungen.

Anforderungen

  • •Bachelor's degree in Computer Science
  • •Master's degree in Engineering
  • •Additional certifications in AI/ML
  • •5+ years full-stack development experience
  • •3+ years experience with AI/ML technologies
  • •Programming skills in Python
  • •Programming skills in JavaScript (Node.js)
  • •Programming skills in Java
  • •Programming skills in Go
  • •AI/ML Frameworks knowledge: TensorFlow
  • •AI/ML Frameworks knowledge: PyTorch
  • •AI/ML Frameworks knowledge: OpenCV
  • •AI/ML Frameworks knowledge: Hugging Face
  • •Backend technologies: Flask
  • •Backend technologies: FastAPI
  • •Backend technologies: Django
  • •Backend technologies: Node.js
  • •Frontend technologies: React
  • •Frontend technologies: Angular
  • •Frontend technologies: Vue.js
  • •Databases: PostgreSQL
  • •Databases: MongoDB
  • •Databases: Redis
  • •Cloud & DevOps: AWS
  • •Cloud & DevOps: Azure
  • •Cloud & DevOps: GCP
  • •Cloud & DevOps: Docker
  • •Cloud & DevOps: Kubernetes
  • •Cloud & DevOps: Terraform
  • •MLOps skills: Model deployment
  • •MLOps skills: Monitoring and lifecycle management
  • •Proven track record in AI implementations
  • •Excellent communication skills
  • •Team collaboration ability
  • •Project management capabilities
  • •Ability to work in fast-paced environments

Deine Aufgaben

  • •Maschinenlernmodelle und Algorithmen entwerfen und implementieren
  • •KI-Modelle in Anwendungen bereitstellen
  • •Modelle für Leistung und Effizienz optimieren
  • •AI-basierte Funktionen entwickeln und pflegen
  • •ML-Modelle für Produktionsumgebungen optimieren
  • •KI-Dienste und APIs in bestehende Anwendungen integrieren
  • •APIs für AI-Modelle erstellen und verwalten
  • •Datenverarbeitungs-Pipelines und Integration mit Datenbanken bearbeiten
  • •Sicherheit und Zugriffssteuerung für KI-Dienste gewährleisten
  • •UX/UI durch künstliche Intelligenz verbessern
  • •KI-Modelle in Produktionsumgebungen bereitstellen
  • •CI/CD-Pipelines für KI-Anwendungen automatisieren
  • •Bekanntschaft mit Deep-Learning-Architekturen
  • •RESTful APIs und Microservices entwickeln
  • •Datenbanklösungen und Daten-Pipelines implementieren
  • •Kompatibilität über Plattformen hinweg sicherstellen
  • •Sauberen und wartbaren Code schreiben
  • •KI-Anwendungen skalierbar und performant halten
  • •API-Antwortzeiten optimieren und Kosten reduzieren
  • •Caching-Strategien und parallele Verarbeitung implementieren

Deine Vorteile

Berufliche Entwicklung
Umfassende Vergütungsprogramme
Wasserprogramm für Bildung
Mitarbeiternetzwerke für Diversität

Original Beschreibung

# AI Full-Stack Engineer / Developer (m/f/d) **Schaffhausen** | **Full time** | **Hybrid** We’re seeking an experienced **AI Full-Stack Engineer / Developer (m/f/d)** responsible for developing and implementing end-to-end solutions that incorporate artificial intelligence and machine learning capabilities while maintaining expertise in both front-end and back-end development. This AI Engineer / Developer (m/f/d) plays a key role in developing and deploying AI-driven applications by working across the entire technology stack—both frontend and backend—while integrating machine learning models into production systems. The ideal candidate will bridge the gap between AI research and real-world applications by integrating AI models into scalable, user-friendly software solutions. Location: Schaffhausen in Switzerland (Xylem Europe Headquarter) or Sundbyberg in Sweden. **Essential Duties/Principal Responsibilities:** **AI/ML Development** * Design and implement machine learning models and algorithms (e.g., NLP, computer vision, recommendation systems) * Deploying AI models into applications using frameworks like TensorFlow, PyTorch or Scikit-Learn. * Optimizing models for performance, scalability, and efficiency * Develop and maintain AI-powered features and functionalities * Optimize ML models for production environments * Integrate AI services and APIs into existing applications **Full-Stack Development** * Building and managing APIs to serve AI models (e.g., Flask, FastAPI, or Django). * Handling data processing pipelines and integrating AI models with databases and cloud services * Ensuring security, authentication, and access control for AI services * Enhancing UX/UI by leveraging AI capabilities (e.g., personalized recommendations, intelligent automation). * Deploying AI models to production environments (cloud/on-premise) using Docker, Kubernetes, or serverless computing * Automating CI/CD pipelines for AI applications * Familiarity with deep learning architectures * Develop RESTful APIs and microservices * Implement database solutions and data pipelines * Ensure cross-platform compatibility and responsive design * Write clean, maintainable, and efficient code **Performance, Optimization and Scaling** * Ensuring AI applications are scalable and performant under different workloads * Optimizing API response times and reducing computational costs * Implementing caching strategies, parallel processing, and distributed computing **Qualifications: Education, Experience, Skills, Abilities, License/Certification:** * Bachelor's or Master's degree in Computer Science, Engineering, or related field * Additional certifications in AI/ML or product management (preferred) * 5+ years of full-stack development experience * 3+ years of experience with AI/ML technologies * Programming – Python, JavaScript (Node.js), Java, or Go * AI/ML Frameworks – TensorFlow, PyTorch, OpenCV, Hugging Face * Backend – Flask, FastAPI, Django, Node.js * Frontend – React, Angular, Vue.js * Databases – PostgreSQL, MongoDB, Redis * Cloud & DevOps – AWS, Azure, GCP, Docker, Kubernetes, Terraform * MLOps – Model deployment, monitoring, and lifecycle management * Proven track record of successful AI project implementations * Excellent communication skills * Team collaboration * Project management capabilities * Ability to work in fast-paced environments **We Offer You More Than Just “A Job”** * Professional Development – To advance the capabilities of our people, we offer a wide variety of experiences to support our employees’ professional growth and continuous learning. * Total Rewards – We offer comprehensive programs for compensation, benefits, recognition, learning and development, work-life integration and corporate citizenship. * Watermark – Watermark is our corporate social responsibility program working to provide education and access to safe water to ensure healthy lives, gender equality, and resilient communities. Employees can learn and volunteer on various water-related projects. * Employee Networks – Our Employee Networks provide a professional, supportive network for employees from diverse backgrounds, including Women’s, LGBT+ and Allies, Veteran’s, People of Color and Allies, Emerging Leaders, and Working Parents Networks. Xylem is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, or other characteristics protected by law. # LI-NN1 Join the global Xylem team to be a part of innovative technology solutions transforming water usage, conservation, and re-use. Our products impact public utilities, industrial sectors, residential areas, and commercial buildings, with a commitment to providing smart metering, network technologies, and advanced analytics for water, electric, and gas utilities. Partner with us in creating a world where water challenges are met with ingenuity and dedication; where we recognize the power of inclusion and belonging in driving innovation and allowing us to compete more effectively around the world.
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