Automatation Engineer

Key Responsibilities :

● Design, implement, and optimize automation solutions for filling and packaging

equipment and process (filling, capping, sealing, mixing, batching, wrapping,

etc.).

● Develop and program PLC, HMI, and SCADA systems for industrial machinery.

● Troubleshoot and resolve automation issues to minimize downtime and improve

productivity.

● Integrate sensors, actuators, robotics, and vision systems into production

lines.

● Collaborate with mechanical and electrical teams during equipment installation,

commissioning, and start-up.

● Perform upgrades and modifications to existing equipment to improve efficiency,

safety, and reliability.

● Ensure compliance with safety, quality, and regulatory standards (GMP, ISO,

etc.) in packaging operations.

● Maintain detailed documentation of automation designs, software versions, and

change logs.

● Train operators and maintenance staff on new or modified systems.

● Support continuous improvement initiatives in line efficiency, energy

consumption, and automation best practices.

● Provide onsite installation, trials and commissioning.

Required Qualifications:–

5 years of proven experience in automation for filling and packaging

machinery.

● Strong expertise in PLC programming (Siemens, Allen-Bradley, Mitsubishi, or

similar).

● Experience with HMI/SCADA applications and industrial communication

protocols (Profibus, Profinet, Modbus, Ethernet/IP).

● Knowledge of control systems, servo drives, VFDs, various sensors, flowmeters,

Load Cells and pneumatic/hydraulic systems.

● Familiarity with vision inspection systems, robotics, and motion control in

packaging operations.

● Good understanding of industrial safety standards, machine safeguarding,

and regulatory compliance.

● Excellent communication, teamwork, and documentation abilities.

● Strong troubleshooting and problem-solving skills with a hands-on approach.

Experience in food, beverage, cosmetics, or pharmaceutical packaging

machinery.

● Exposure to Industry 4.0 technologies (IoT, predictive maintenance, data

analytics).

● Knowledge of validation and qualification protocols for regulated industries.