Urgent Search: Automation Engineer

1 week ago


Mumbai, India Fynd Full time

Job Description 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.



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