onsite
AI & Automation Engineer - Seifert Logistics Group
QA Engineer
Design and implement AI-driven automation solutions, integrating machine learning models and RPA tools within cloud environments to optimize logistics processes.
About the role
Key Responsibilities
- Develop and deploy machine learning models to improve forecasting, routing, and inventory management.
- Design, build, and maintain Robotic Process Automation (RPA) workflows for repetitive logistics tasks.
- Integrate AI solutions with existing ERP and warehouse management systems using APIs and data pipelines.
- Utilize cloud services (AWS) for scalable model training, storage, and orchestration.
- Collaborate with cross‑functional teams to gather requirements, prototype solutions, and ensure seamless production rollout.
Requirements
- Strong proficiency in Python and experience with ML libraries such as TensorFlow, PyTorch, or scikit‑learn.
- Hands‑on experience with RPA platforms (e.g., UiPath, Automation Anywhere) and workflow automation.
- Solid understanding of cloud services (AWS) including EC2, S3, Lambda, and containerization with Docker.
- Proficiency in SQL and data manipulation for building training datasets and reporting.
- Ability to work independently, solve complex problems, and communicate technical concepts to non‑technical stakeholders.
Skills
pythonmachine learningawssqldocker