Automation & Industry 4.0 Project Engineer - Apidel Technologies

Qualifications:

Education:

Bachelors degree in engineering / science or equivalentexperience (Industrial, Electrical, or similar, Computer Science, or relatedfield.)

Experience:

3-5 years of experience in manufacturing environments,with exposure tIndustry 4.0 technologies and practices.

Experience with Total Performance Management (TPM)methodologies and practices

Experience with automation, IoT, data analytics, andprocess optimization in a production setting.

Technical Skills:

Knowledge of smart manufacturing technologies such as IoTdevices, PLCs, SCADA systems, AI, machine learning, and robotics. Ignition/SepaSoft is a plus.

Understanding of data analysis tools and programminglanguages (Python, R, SQL).

Understanding of industrial networks (Ethernet/IP,OPC-UA, etc.).

Experience with Ignition/Sepasoft MES, SAP-ERP, and CMMSsystems.

Soft Skills:

Strong problem-solving abilities and analytical thinking.

Excellent project management and organizational skills.

Strong communication and interpersonal skills forcross-functional collaboration.

Ability tmanage multiple projects and adapt trapidlychanging environments.

Responsibilities:

Project Planning & Execution:

Assist the management of Industry 4.0 and smartmanufacturing initiatives from conceptualization through deployment.

Support the development of detailed project plans,including timelines, budgets, and resource allocations.

Evaluate existing manufacturing processes and identifyopportunities for improvement through smart technology integration.

Technology Integration:

Implement and integrate Industry 4.0 technologies such asIoT sensors, robotics, machine learning, AI, augmented reality (AR), anddigital twins in the manufacturing environment.

Ensure seamless integration of these technologies withexisting machinery and equipment, collaborating with IT and engineering teams.

Drive the adoption of manufacturing execution systems(MES), predictive maintenance, and real-time data monitoring tools.

Data Analysis & Continuous Improvement:

Use data analytics tanalyze real-time manufacturing data,identifying data integrity issues and/or inefficiencies and opportunities forprocess optimization.

Apply data-driven methodologies trecommend continuousimprovements in productivity, quality, and resource management.

Collaborative Work with Cross-functional Teams:

Work closely with production, quality, and maintenanceteams tensure seamless implementation of smart technologies.

Coordinate with IT teams tmaintain data integrity, andsystem reliability.

Provide training and support tplant operators,technicians, and managers on new technologies and systems.

Documentation & Reporting:

Maintain accurate project documentation, includingtechnical designs, system configurations, and project reports.

Present project updates and performance reportstmanagement and stakeholders.

Provide technical documentation for training andoperational purposes.