Role Description
Role will span across research, design, development and support of Intelligent Automation (IA) solutions and platform as required in IA roadmap
Research new technology or feature within RPA or ML field
Develop and support Intelligent Automation (IA) solutions including RPA tools (Blue Prism and UI Path) and Machine Learning technologies
Review solutions, suggest improvement areas (Digital and RPA solutions) and fix if required
Design/implement new solutions as well as enhance existing IA solutions
Responsibilities
Own the designated tasks as required and delegated by team lead either to research, develop or support IA platform or solution on IA platform
Consult clients on support RPA solutions through solution review, change management, onboarding support to productionize IA solutions
Keep pace with upcoming features in Blue Prism, UI Path and Azure ML stack
Develop, Review and support solutions using Blue Prism, UI Path and Azure ML
Assesses, analyses, develops, documents and implements changes based on requests for change to an existing solution
Code review of the solutions prior to production deployment and identification of any improvement area/ vulnerability
Develop/enhance existing solutions
Liaise with appropriate teams and escalate issues to relevant teams, provide viable workarounds to resolve incidents
Collaborates and forms relationships with other engineering groups to gain a sound understanding of products and services in order to provide specialist technical
support activities and communicate progress
People Capabilities
Experience
2+ yrs. of strong technical background
Expertise RPA tool (Blue Prism)
RPA developer / support experience
Comfortable with RPA lifecycle (Process discovery to production support)
Good to have familiarity with AI/ ML development (Azure machine learning)
Typical Education
B.E (Computer Science) or B.E (IT),
M.C.A
Typical Certifications
RPA Certified in Blue Prism® or UI Path® OR
Azure AI Engineer Associate
Similar Titles in the Market Intelligent Automation Consultant
Leadership Capabilities LEAD: Gold Standard Definitions
Available Technical Learning
Skills and Capabilities
Mandatory:
Good to have:
UI Path
Artificial Intelligence / Machine Learning
Azure ML, Microsoft Azure Cognitive Services
Python
Technologies and Tools RPA – Blue Prism, UI Path.
AI/ML (good to have)
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