onsite
AI and Automation Engineer - Fruition Group
QA Engineer
Design and implement AI‑driven automation solutions using Python, machine learning, RPA and cloud services to boost operational efficiency and support data‑centric decision making.
About the role
Key Responsibilities
- Design, develop, and deploy AI and automation workflows that streamline business processes and improve decision speed.
- Build and maintain machine‑learning models, data pipelines, and RPA bots using Python and industry‑standard frameworks.
- Integrate solutions with cloud platforms (AWS/Azure), containerisation (Docker) and CI/CD pipelines for scalable production deployment.
- Collaborate with data engineers, analysts, and business stakeholders to translate requirements into technical specifications.
- Monitor, troubleshoot, and continuously optimise automated systems to ensure reliability and performance.
Requirements
- Strong proficiency in Python and experience with machine‑learning libraries (e.g., scikit‑learn, TensorFlow, PyTorch).
- Hands‑on experience building RPA solutions (UiPath, Automation Anywhere, Blue Prism, or similar).
- Solid understanding of cloud services (AWS or Azure) and container technologies such as Docker.
- Proficiency in SQL for data extraction, transformation, and analysis.
- Ability to work in an agile environment, communicate technical concepts clearly, and deliver end‑to‑end solutions.
Skills
pythonmachine learningsqldocker