onsite
Applied AI & Automation Engineer - Jobgether
QA Engineer
Design and deploy AI‑driven automation solutions that cut manual effort, boost reliability, and streamline business processes using Python, machine learning, RPA tools, and cloud services.
About the role
Key Responsibilities
- Architect, develop, and maintain end‑to‑end automation workflows that integrate AI models with existing enterprise systems.
- Build, train, and fine‑tune machine‑learning models to support decision‑making and process optimization.
- Implement Robotic Process Automation (RPA) bots using leading platforms to replace repetitive manual tasks.
- Deploy solutions on AWS, leveraging services such as Lambda, S3, and SageMaker, and containerize applications with Docker.
- Collaborate with cross‑functional teams to gather requirements, ensure data quality, and monitor performance of automated systems.
Requirements
- Strong proficiency in Python and experience with ML libraries (e.g., TensorFlow, PyTorch, scikit‑learn).
- Hands‑on experience building RPA solutions (UiPath, Automation Anywhere, Blue Prism, etc.).
- Solid understanding of cloud platforms, preferably AWS, and containerization technologies like Docker.
- Proven ability to design scalable, reliable automation pipelines and troubleshoot production issues.
- Bachelor’s degree in Computer Science, Engineering, or a related field, with 3+ years of relevant experience.
Skills
pythonmachine learningawsdocker