Lead E Automation Engineer

The Automation Engineer is responsible for end-to-end automation use case ideation, requirements gathering, technology assessments, design, documentation, deployment, and actively contributing to small- to medium-sized projects or components of a larger project and working effectively as part of a team. As an independent contributor IT professional, you will engage in problem-solving and follow established standard operating procedures while applying compliance requirements within the scope of your responsibility.

Responsibilities:

• Collaborate with cross-functional teams to identify automation and AI-driven optimization opportunities.
• Design and implement automation frameworks leveraging AI / ML models to improve efficiency, effectiveness, and user experience.
• Provide guidance to service consultants to create and execute test plans and test cases based on business requirements.
• Provide guidance to service consultants to develop and maintain test scripts using tools such as Jira to ensure high-quality delivery.
• Analyze and document problems and their resolution, incorporating predictive analytics and ML-based insights where applicable.
• Ensure the operational integrity of all changes to existing automation and AI platforms.
• Stay up-to-date with industry trends and best practices in automation, AI, and machine learning.
• Work with service consultants continuously to improve and optimize automation processes and frameworks using AI / ML techniques.
• Apply compliance requirements (e. g., GxP) within the scope of responsibility, provide documentation as necessary, and participate in compliance activities as required.
• Analyze a chain of events and apply technical knowledge following established standard operating procedures and/or detailed specifications.
• Provide coaching as a subject matter expert in automation and AI/ML to peers or less experienced staff.

Requirements:

• 2-4 years of experience in automation using various technologies, with exposure to AI / ML concepts and applications.
• Bachelor's degree in computer science, data science, or a related field.
• Strong programming skills in one or more languages such as Python, Java, or C# (Python preferred for ML).
• Experience with API tools such as Bruno.
• Strong experience with automation tools such as Robocorp, MS Power Platform, Playwright, etc.
• Familiarity with AI / ML frameworks (e. g., TensorFlow, PyTorch, Scikit-learn) and their integration into automation workflows.
• Strong problem-solving and analytical skills, including ability to apply data-driven approaches.
• Excellent communication and collaboration skills.
• Ability to work independently and as part of a team.
• Familiarity with Agile development methodologies.
• Understanding of IT organization and escalation processes.
• Ability to resolve most problems directly within the area of responsibility or escalate appropriately.
• Ability to choose an approach or procedure for addressing a work task, seeking guidance as needed.
• Ability to collect facts and basic rationale to make recommendations.
• Experience with full-stack development.
• Experience with managing small to medium-sized projects from start to finish.
• Hands-on experience building or deploying ML models in production environments.
• Knowledge of AI-driven process automation and predictive analytics.