Edgesource Corporation

RPA Developer III

Edgesource Corporation

full-time

Posted on:

Location Type: Remote

Location: United States

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Tech Stack

RPA

About the role

  • Lead the design, development, and implementation of advanced RPA and ML-based automation solutions.
  • Act as an innovation radar, identifying and evaluating emerging RPA/AI/ML technologies.
  • Ability to successfully manage multiple teams of RPA developers including providing them with career development, oversight, and feedback.
  • Design end-to-end RPA solutions using tools like UiPath, Automation Anywhere, or Blue Prism.
  • Define automation architecture and best practices.

Requirements

  • 5–7 years of experience in IT, with a focus on RPA, ML, or automation technologies.
  • Providing a hands-on approach on building Artificial Intelligence, Machine Learning, and Data Science platforms and solutions for automation and efficiency.
  • Demonstrated experience delivering enterprise-scale automation and ML-enabled solutions.
  • Responsible for leading the design, development, and implementation of advanced automation solutions and machine learning (ML) models within the framework of the contract.
  • Demonstrated focus on leveraging RPA tools and ML technologies to streamline processes, enhance operational efficiency, and enable data-driven decision-making.
  • Proven ability to ensure solutions align with organizational objectives, comply with governance standards, and are integrated seamlessly into existing IT systems.
Benefits
  • Flexible PTO Policy + 11 Paid Holidays
  • Flexible Work Schedules (Remote / Hybrid)
  • Medical / Dental / Vision / Flexible Spending Account (FSA)
  • 401k Plan with Match
  • Tuition & Professional Development Support
  • Commuter Benefits
  • Bonus & Employee Referral Programs
  • Career Growth Opportunities
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
RPAMLautomationArtificial IntelligenceMachine LearningData Scienceautomation architectureenterprise-scale automationML modelsprocess streamlining
Soft Skills
team managementcareer developmentoversightfeedbackinnovation radardecision-makingoperational efficiency