Salary
💰 $90,000 - $115,000 per year
Tech Stack
AWSAzureCloudDockerGoogle Cloud PlatformKubernetesPyTorchRPATensorflow
About the role
- Assist in identification and evaluation of Intelligent Automation (IA) use cases that support business objectives.
- Support the prototyping, piloting, and evaluation of emerging RPA, AI/ML, Chatbot, and cognitive automation tools.
- Conduct proof-of-concepts and recommend solutions aligned with enterprise requirements.
- Design, develop, code, test, and release RPA and cognitive automation solutions (target of 10 automations annually).
- Migrate, enhance, and modernize existing automation solutions across on-premise, server, and cloud platforms.
- Apply Agile, DevOps, Test Driven Development (TDD), and CI/CD best practices to all development efforts.
- Work with new or legacy codebases to adjust solutions for compliance with platform standards.
- Deliver all required development documentation per ELC processes.
- Provide post-production support, change management, and maintenance for 10+ automations annually.
- Support operational enhancements, bug fixes, and platform-level adjustments for deployed automations.
Requirements
- Bachelor’s degree in Engineering or a related field.
- 3+ years of experience in RPA, AI/ML, and cognitive automation engineering.
- 1+ year of experience with RPA platforms (UiPath, Automation Anywhere, Blue Prism, etc.).
- 1+ year of experience with AI/ML frameworks (TensorFlow, PyTorch, NLP tools, etc.) and chatbot technologies.
- 1+ year of experience with Agile, DevOps, CI/CD, and containerization (Docker, Kubernetes).