Linde Material Handling
backend developer in manufacturing
- Compensation
- Not disclosed
- Location
- Barcelona, Spain
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Backend
- Posted
Skills
Must have
- 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
- Strong conceptual and analytical skills
- Good communication skills
- High degree of initiative and solution orientation
- Fluent in English.
Full description
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
- 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