The Intelligent Automation Developer II is needed to create and implement Intelligent Process Automation using UiPath and/or Power Automate, Python- AI/ ML solutions based on business requirements to streamline processes, reduce manual efforts, and deliver tangible business benefits.
Requirements
- Minimum of five (5) years of UiPath Robotic Process Automation experience is required
- Minimum of two (2) years of AI/ ML using Python is required
- Experience in end-to-end development of business processes using UiPath Robotic Process Automation is required
- UiPath and/or Power Automate experience is required
- Agentic AI/ Generative AI experience is required
- Working technical knowledge of object-based programming languages, including C-Sharp, VB.NET, ASP.NET, or Python
- Strong relational database experience including tuning, stored procedure development and use of reporting services in a Microsoft environment
Responsibilities
- Creates and implements Intelligent Process Automation using UiPath and/or Power Automate, Python- AI/ ML solutions based on business requirements and in accordance with standard automation tool design principles and conventions.
- Work closely with business stakeholders to gather and define requirements for AI/ML and intelligent/ robotic project automation projects; translate business needs into technical specifications
- Analyze and preprocess data to ensure its quality, relevance, and suitability for AI/ML model development; collaborate with data engineers to establish data pipelines and data governance
- Identify and implement opportunities for process automation using technologies like robotic process automation (RPA) and intelligent process automation (IPA); create and maintain automation workflows
- Apply understanding of the design, development, and deployment for machine learning models and algorithms to solve business challenges which may involve selecting appropriate algorithms, feature engineering, model training, and optimization.
- Monitor the performance of deployed AI/ML models and automation solutions; continuously assess their accuracy, efficiency, and effectiveness, and iterate on improvements as necessary
- Collaborate with IT, data science, and business teams to ensure seamless integration of AI/ML and automation solutions into existing systems and workflows
Other
- Collaborate with cross-functional teams to identify areas where intelligent/ robotic Process automation and AI/ ML can be applied to streamline processes, reduce manual efforts, and deliver tangible business benefits
- Provide training and support to end-users who interact with AI/ML models or automated systems; address queries and troubleshoot issues as needed
- Provide guidance to stakeholders in conceptualizing and developing new software programs and applications
- Assist in the preparation and documentation of software requirements and specifications
- Research and document requirements of software users
