Automation Engineer - AI & Machine Learning Development Lead

Responsibilities :

• Design and implement robust and scalable applications for maximum speed using Python.
• Design and develop automated workflows using Microsoft Power Automate.
• Analyze business process requirements to identify areas for workflow automation and optimization.
• Design, develop, and test Python-based applications to support workflow management.
• Implement and manage workflow management tools to streamline business processes ensuring security and data protection.
• Collaborate with business stakeholders to gather requirements and integrate user-facing workflow solutions with help of cross-functional teams.
• Integrate Power Automate with other Microsoft products such as Power Apps, SharePoint, and Dynamics 365.
• Monitor and troubleshoot workflow processes to ensure smooth operations and improving application performance.
• Design, develop, and test Python-based applications to support workflow management.
• Implement and manage workflow management tools to streamline business processes ensuring security and data protection.
• Collaborate with cross-functional teams to integrate user-facing workflow solutions with existing systems.
• Stay updated with the latest trends and technologies in automation, workflow management and Python development.
• Document procedures and maintain technical specifications for workflow management systems.
• Train users and other developers on workflow management tools and best practices.
• Stay updated with the latest trends and technologies in workflow management and Python development.
• Collaborate with cross functional teams and practises across the organisation including Commercial, Manufacturing, Medical, InformationX, GrowthX and support other X (transformation) Hubs and Practices as appropriate, to understand user needs and translate them into technical solutions.
• Provide Technical Support to internal users troubleshooting complex issues and ensuring system uptime as soon as possible.
• Champion continuous improvement initiatives identifying opportunities to optimise performance security and maintainability of existing data and platform architecture and other technology investments.
• Participate in the continuous delivery pipeline. Adhering to DevOps best practises for version control automation and deployment. Ensuring effective management of the PlatformX backlog.
• Work closely with other leads / architects and mentor, be resourceful to junior engineer in resolving challenges.
• Performance Monitoring and Optimization : Regularly monitor performance of applications and identify bottlenecks.

Requirements

Qualifications   Required

Preferred

Working Environment