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backend developer in manufacturing

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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
  • Strong experience developing end-to-end AI/ML solutions
  • Ability to build data and MLOps pipelines
  • 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 xqbhyrx
  • 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

Skills

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