Automation Engineer (RPA)

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.