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 optimisation opportunities.

Design and implement automation frameworks leveraging AI / ML models to improve efficiency, effectiveness, and user experience.

Guide service consultants to create and execute test plans and test cases based on business requirements.

Guide service consultants to develop and maintain test scripts using tools such as Jira to ensure high-quality delivery.

Analyse 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 optimise automation processes and frameworks using AI / ML techniques.

Apply compliance requirements (e. g., GxP) within scope of responsibility, provide documentation as necessary, and participate in compliance activities as required.

Analyse 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 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 the 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 organisation and escalation processes.

Ability to resolve most problems directly within 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.