CareSource is looking to streamline business processes, reduce manual workload, and achieve measurable business improvements by creating, designing, developing, and implementing Intelligent Process Automation solutions.
Requirements
- MS Power Automate required for this role.
- Experience in end-to-end development of business processes using Microsoft Power Platform and/or UiPath Robotic Process Automation is required
- AI/ML/Generative AI experience is required
- Understanding of RPA tools and design principles, governance, and exception handling
- Knowledge in web service development.
- Strong relational database experience including tuning, stored procedure development and use of reporting services in a Microsoft environment
- Hands-on experience with integrated development environments, including SVN, Microsoft Visual Studio, and Team Foundation Server.
Responsibilities
- Design, develop, and deploy machine learning models and algorithms to solve business challenges which may involve selecting appropriate algorithms, feature engineering, model training, and optimization.
- Identify and implement opportunities for process automation using technologies like robotic process automation (RPA) tools and intelligent process automation (IPA); create and maintain automation workflows.
- 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.
- Design process workflow using RPA tools including building, testing and implementing quality RPA solutions.
- Consistently write, translate, and code software programs and applications according to specifications.
- Define architecture and design for enterprise applications.
Other
- Collaborate with cross-functional teams to identify areas where RPA tools and artificial intelligence/machine learning (AI/ML) and intelligent automation can be applied to streamline processes, reduce manual efforts, and deliver tangible business benefits
- Work closely with business stakeholders to gather and define requirements for AI/ML and intelligent automation projects; translate business needs into technical specifications.
- Maintain comprehensive documentation of models, algorithms, processes, and automation workflows; ensure knowledge sharing across teams.
- Stay up-to-date with the latest advancements in AI/ML and automation technologies; proactively explore new tools, frameworks, and methodologies to enhance the organization's capabilities.
- Provide training and support to end-users who interact with AI/ML models or automated systems; address queries and troubleshoot issues as needed.
