1. AI-Powered Workflow Automation

• Design and implement AI-driven automation workflows using tools like Monday.com, Gumloop/n8n, Make, Zapier, UiPath, and other RPA platforms.

• Develop/implement Python scripts for data processing, workflow automation, and AI model integration.

• Optimize business operations through intelligent decision-making algorithms.

2. System Integration & Process Optimization

• Automate workflows in Monday.com, Visio, Power BI, Google Suite, and other relevant enterprise tools.

• Develop and maintain custom automation solutions integrating APIs and third-party services.

• Work with structured and unstructured data to automate decision-making processes.

3. AI & Machine Learning Implementation

• Utilize AI/ML models to enhance automation and business intelligence.

• Develop and fine-tune predictive analytics and visualization solutions for process optimization and market analysis.

• Integrate natural language processing (NLP) and AI chatbots into automation workflows where applicable.

4. Quality Assurance & Performance Monitoring

• Implement error-handling mechanisms and monitoring tools for automation processes.

• Conduct regular performance analysis to ensure efficiency and scalability.

• Maintain documentation and provide training for stakeholders on automated workflows.

Additional Responsibilities:

• Defect Management: Identify, document, and track defects in collaboration with development teams, ensuring timely resolution and validation.

• Framework Design: Architect and enhance test automation frameworks to support functional, regression, integration, and performance testing across web, mobile, and/or API-based applications.

• Performance Testing: Contribute to performance and load testing initiatives using tools like JMeter, LoadRunner, or Gatling (as applicable).

• Process Improvement: Proactively identify areas for improvement in testing processes, tools, and workflows, and implement solutions to enhance efficiency and effectiveness.

• Cross-Functional Collaboration: Work closely with cross-functional teams to understand requirements, resolve issues, and ensure alignment on quality goals.

Bachelor’s/Master’s degree in Computer Science, Engineering, or related field.

• 3+ years of experience in AI-driven workflow automation and process optimization.

• Strong knowledge of Python for automation, scripting, and AI model integration.

• Experience with workflow automation tools (Monday.com, Gumloop, Make, Zapier, UiPath, Power Automate, etc.).

• Proficiency in REST APIs, Webhooks, and third-party service integrations.

• GIS knowledge, especially open source like QGIS, is highly desirable but not mandatory.

• Hands-on experience with data visualization and business intelligence tools (Power BI, Tableau).

• Familiarity with cloud services (AWS, Azure, Google Cloud,) and AI frameworks.

• analytical and problem-solving skills with attention to detail.

Strong

• Excellent verbal and written communication skills, with the ability to convey technical concepts to non-technical stakeholders.