About the role
AI summarisedThis is a 15-month training programme for an Automation/MI Engineer at a pharmaceutical company. The role focuses on building foundational skills in industrial automation, digital solutions, and AI under supervision, supporting MES systems and process improvements.
BiopharmaFull-time
Key Responsibilities
- Be trained on Good Manufacturing Practices and adherence on consistent safe work practices
- Participate in training programs and knowledge-sharing sessions to be equipped with technical knowledge
- Be exposed to various Automation/Digital MES systems and have sound working knowledge
- Assist in exploring use cases for AI and analytics in Automation
- Learn fundamentals of data flow, access controls, and system security in automated environments.
- Support ongoing changes, maintenance and optimization of Automation/Digital MES systems.
- Support preparation and periodic review of technical documentation
- Identify opportunities for improvements, standardization and digitalization.
- Qualification and testing of changes in Automation logic, systems, and equipment.
- Contribute to project milestones, learn and apply basic team effectiveness skills within the team.
- Be empowered to make decisions to resolve basic problems with limited options and decision-making authority, under supervisor's direction.
Requirements
- Bachelor's degree with 3-5 years of experience
- Basic understanding of control systems concepts (PCS, PLC)
- Experience, curiosity and openness to working with common AI tools, including generative technologies to support problem solving and enhance productivity.
- Demonstrated leadership and organizational skills to meet project task deadlines effectively
- Demonstrated communication and interpersonal skills
- Experience with automated systems and equipment
- Knowledge of Good Manufacturing Practices
- Experience in pharmaceutical industry engineering
- Familiarity with Preventive Maintenance Procedures for process control systems
- Ability to monitor issues and develop preventative solutions
- Experience with manufacturing information systems
- Sound judgment and decision-making skills