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Linde Material Handling is among the world leaders in the manufacturing of forklifts, warehouse trucks, and high-performance solutions for intralogistics. Since 2006, Linde has been part of the KION Group. Our Values Are INTEGRITY – we do what is right COLLABORATION – we trust each other COURAGE – we drive change and innovation EXCELLENCE – we deliver exceptional value to our customers 🌏 You will work for a successful global company in an international environment. Are you ready for a new challenge? Then you might be the one we are looking for! ➡️ About The Company We are a socially responsible company that offers equal employment opportunities, promotes diversity, and respects differences within our organization. We do not tolerate any form of discrimination, harassment, or aggression—whether verbal or physical, direct or indirect—against individuals or material objects. Ofrecemos ✨ What we offer: 💰Attractive remuneration based on your experience, skills and development. 🥊Extensive trainings in your area of responsibility 🌎 The opportunity to participate in the international projects and a significant influence on company IT development 📍 Barcelona (Zona Franca) 💻 Hybryd Work Model ⏱ Flexible Working Hours 🏥 Private health insurance 🍽 Food Allowance 🌟Committed to Diversity and Society: Support for employees with children with disabilities. Responsabilidades y Requisitos 🎯 Your role: Design, build and deploy innovative solutions in the area of data analytics, machine learning and generative AI to solve complex real-world problems for our internal and external customers Apply machine learning and generative AI models for end-to-end solution building Build MLOps on cloud (Azure and GCP) and build CI/CD pipelines AI model review, code refactoring, containerization, deployment, versioning and monitoring AI model validation, test automation and integration Collaborate closely in interdisciplinary teams with data scientists, data engineers, business units, UX designers and IT departments 📚 Your Profile Completed studies in computer science, mathematics, physics or a comparable education 3+ years of professional experience Ability to design, implement and maintain AI-driven applications on cloud (Azure and GCP), including performance and cost monitoring and optimization Strong experience with AI/ML end-to-end solutions developing Ability to build data and MLOps pipelines and experience with MLOps frameworks (e.g., MLflow) and with Kubernetes Experience with leveraging Retrieval Augmented Generation (RAG) architectures and monitoring them in production using LLM Observability platforms (e.g., Langfuse) Ability to develop and deploy agentic AI solutions to automate complex workflows and enable autonomous decision-making using an agent framework, e. g. ADK Excellent Python programming skills and familiarity with relevant frameworks and libraries like scikit-learn, Pytorch, Tensorflow etc. Strong conceptual and analytical skills Good communication skills High degree of initiative and solution orientation Fluent in English
Here's where they are and how to stand out in your next interview.
24.795Jobs
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74%EN
That number includes positions in India (9,577), Poland (3,429), the United States (1,753), Singapore (787), and Brazil (779). If you're looking to move or work remotely, check which countries match your goals — then filter WorkMundi by location to see what's actually hiring near you.
Most developer ads you'll see are written in English: 18,397 of the 24,795. That doesn't tell you whether the job itself requires you to speak English or work in English daily, so read each posting carefully. Don't assume the language of the ad matches the language of the team.
The employers posting the most developer roles are Link Group (369 jobs), Upvanta (257), jobgether (226), and OfferZen (212). If you're applying to any of these, research their hiring patterns. They move fast and post often, which means they're either scaling hard or replacing people who didn't fit.
In your interview, expect this: 'Walk me through the last time you had to debug something that took you more than an hour. What was it, what did you try first, and what would you do differently?' Hiring managers ask this to see if you think systematically or just try random fixes. Have a real example ready with specifics.