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описание
Linde Material Handling manufactures forklifts, warehouse trucks, and high-performance solutions for intralogistics. Since 2006, it has been part of the KION Group and operates as a global company in an international environment.
задачи
Design, build, and deploy innovative solutions in data analytics, machine learning, and generative AI for internal and external customers;
Apply machine learning and generative AI models to build end-to-end solutions;
Build MLOps on Azure and GCP and create CI/CD pipelines;
Review AI models, refactor code, containerize applications, and manage deployment, versioning, and monitoring;
Validate AI models and implement test automation and integration;
Collaborate with data scientists, data engineers, business units, UX designers, and IT departments.
требования
Completed studies in computer science, mathematics, physics, or a comparable field;
3+ Years of professional experience;
Ability to design, implement, and maintain cloud-based AI applications on Azure and GCP, including performance and cost monitoring and optimization;
Experience with MLOps frameworks such as MLflow and with Kubernetes;
Experience with Retrieval Augmented Generation (RAG) architectures and production monitoring using LLM Observability platforms such as Langfuse;
Ability to develop and deploy agentic AI solutions for complex workflow automation and autonomous decision-making using an agent framework such as ADK;
Excellent Python programming skills and familiarity with scikit-learn, PyTorch, TensorFlow, and related frameworks and libraries;
Strong conceptual and analytical skills;
Good communication skills;
High degree of initiative and solution orientation;
Fluent in English.
условия
Attractive remuneration based on experience, skills, and development;
Extensive training in the area of responsibility;
Opportunity to participate in international projects and influence company IT development;
Flexible working hours;
Private health insurance;
Food allowance;
Support for employees with children with disabilities.
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