Key Responsibilities:
Process Analysis:
- Collaborate with business stakeholders to understand and document current processes.
- Identify opportunities for automation, workflow optimization, and AI/ML integration.
Design & Development:
- Create, develop, and maintain automation workflows using UiPath and similar RPA tools.
- Integrate AI/ML components where applicable to improve decision-making, predictive analysis, or process adaptability.
- Translate business requirements into scalable, technical solutions.
Testing & Deployment:
- Conduct thorough testing and debugging of automation scripts and AI/ML models to ensure performance and reliability.
- Deploy automation and AI/ML solutions into production environments and monitor their performance.
Integration & Support:
- Ensure seamless integration of automated workflows with existing systems, applications, and data analytics tools.
- Collaborate with data science teams to incorporate machine learning algorithms (e.g., computer vision, natural language processing, predictive analytics) that extend automation capabilities.
- Provide ongoing support, troubleshoot issues, and refine processes based on feedback.
Continuous Improvement:
- Stay updated on the latest trends and advancements in RPA, AI, and machine learning technologies.
- Recommend and implement best practices to continuously enhance automation solutions with intelligent features.
Qualifications and Skills:
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
- 3+ years of experience in automation engineering, process automation, or a similar role.
- Hands-on experience with RPA tools, like UiPath, Automation Anywhere etc..
- Proficiency in programming languages such as VB.NET, C#, or Python.
- Familiarity with AI/ML concepts and frameworks, and experience in integrating AI/ML solutions into automation workflows.
- Strong analytical skills and a solid understanding of business process analysis.
- Excellent problem-solving abilities with keen attention to detail.
- Effective communication skills to interact with both technical and non-technical teams.
- Familiarity with software development methodologies and lifecycle management.
- Experience with system integration and agile development practices is a plus.
Preferred Qualifications:
- RPA certifications.
- Prior experience in AI/ML projects or certifications in machine learning.
- Previous experience in implementation roles or consulting projects.
- Demonstrated success in managing end-to-end automation projects with AI/ML enhancements.
