Axelon Services Corporation
Overview
Job Title: Automation Engineer
Location: Davie, FL
Shift: Monday - Friday 8:00am - 5:00pm
Temp to Perm: Yes
Core Essential Skill Sets
Recent college graduate within the last 3 years with Master’s Degree or Ph.D.
Min 3 years experience with AI / OT / controls experience within a GMP-regulated pharmaceutical or medical device environment.
Min 3 years experience with PLC (Allen-Bradley, Siemens), SCADA and industrial networking.
Strong command of Python, Power Platform, and AI / ML frameworks.
Job Summary We are seeking a dynamic and technically skilled Automation Engineer to lead and support cross-functional initiatives across IT, OT, and controls systems in a GMP-regulated pharmaceutical manufacturing environment. This role will drive digital transformation through AI integration, Power Platform development, and advanced automation technologies, ensuring compliance, efficiency, and innovation. Role will also support various day to day trouble shooting for operational equipment, facilities and innovation activities
Key Responsibilities
Automation Systems Design & Integration
Develop, configure, and maintain automation systems including PLC, SCADA, MES, and DCS platforms.
Interface automation systems with enterprise IT tools and data platforms (e.g., SAP, OSIsoft PI, Seeq, Solvae, MES, various historians).
Digital Transformation & AI Enablement
Apply AI / ML models for predictive maintenance, anomaly detection, and process optimization using tools like Python, TensorFlow, and Power BI Fabric.
Collaborate with data engineers / data scientists to integrate sensor data and batch records into centralized analytics platforms.
Power Platform Development
Build and deploy low-code applications using Power Apps, Power Automate, and Power BI to digitize workflows and enhance productivity.
Use Copilot and Power Fx to simplify app creation and automate repetitive tasks.
Validation & Compliance
Ensure systems meet GxP, FDA, and ISO standards through robust Computer Systems Validation (CSV) and documentation practices.
Cross-Functional Collaboration
Work closely with engineering, IT, quality, and manufacturing teams to align automation strategies with business goals.
Support training and change management initiatives to drive adoption of digital tools.
Qualifications
Education: Master’s degree in electrical engineering, Computer Science, Automation, Robotics or related field. Ph.D. With less experience acceptable.
Experience: 3+ years in automation engineering with AI / OT / controls experience within a GMP-regulated pharmaceutical or medical device environment.
Technical Skills
Proficiency in PLC programming (Allen-Bradley, Siemens), SCADA, and industrial networking.
Strong command of Python, Power Platform, and AI / ML frameworks.
Familiarity with digital twins, robotic systems, and smart manufacturing equipment.
Preferred Attributes
Experience with Industry 4.0 / Pharma 4.0 technologies and principles.
Knowledge of ISA standards (e.g., ISA 18.2 for alarm rationalization).
Ability to interpret and apply AI / ML models to manufacturing data.
Strong documentation, problem-solving, and communication skills.
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Location: Davie, FL
Shift: Monday - Friday 8:00am - 5:00pm
Temp to Perm: Yes
Core Essential Skill Sets
Recent college graduate within the last 3 years with Master’s Degree or Ph.D.
Min 3 years experience with AI / OT / controls experience within a GMP-regulated pharmaceutical or medical device environment.
Min 3 years experience with PLC (Allen-Bradley, Siemens), SCADA and industrial networking.
Strong command of Python, Power Platform, and AI / ML frameworks.
Job Summary We are seeking a dynamic and technically skilled Automation Engineer to lead and support cross-functional initiatives across IT, OT, and controls systems in a GMP-regulated pharmaceutical manufacturing environment. This role will drive digital transformation through AI integration, Power Platform development, and advanced automation technologies, ensuring compliance, efficiency, and innovation. Role will also support various day to day trouble shooting for operational equipment, facilities and innovation activities
Key Responsibilities
Automation Systems Design & Integration
Develop, configure, and maintain automation systems including PLC, SCADA, MES, and DCS platforms.
Interface automation systems with enterprise IT tools and data platforms (e.g., SAP, OSIsoft PI, Seeq, Solvae, MES, various historians).
Digital Transformation & AI Enablement
Apply AI / ML models for predictive maintenance, anomaly detection, and process optimization using tools like Python, TensorFlow, and Power BI Fabric.
Collaborate with data engineers / data scientists to integrate sensor data and batch records into centralized analytics platforms.
Power Platform Development
Build and deploy low-code applications using Power Apps, Power Automate, and Power BI to digitize workflows and enhance productivity.
Use Copilot and Power Fx to simplify app creation and automate repetitive tasks.
Validation & Compliance
Ensure systems meet GxP, FDA, and ISO standards through robust Computer Systems Validation (CSV) and documentation practices.
Cross-Functional Collaboration
Work closely with engineering, IT, quality, and manufacturing teams to align automation strategies with business goals.
Support training and change management initiatives to drive adoption of digital tools.
Qualifications
Education: Master’s degree in electrical engineering, Computer Science, Automation, Robotics or related field. Ph.D. With less experience acceptable.
Experience: 3+ years in automation engineering with AI / OT / controls experience within a GMP-regulated pharmaceutical or medical device environment.
Technical Skills
Proficiency in PLC programming (Allen-Bradley, Siemens), SCADA, and industrial networking.
Strong command of Python, Power Platform, and AI / ML frameworks.
Familiarity with digital twins, robotic systems, and smart manufacturing equipment.
Preferred Attributes
Experience with Industry 4.0 / Pharma 4.0 technologies and principles.
Knowledge of ISA standards (e.g., ISA 18.2 for alarm rationalization).
Ability to interpret and apply AI / ML models to manufacturing data.
Strong documentation, problem-solving, and communication skills.
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