Machine Learning Engineer

Interview Process: Onsite Interview at Davie, FL JOB SUMMARY: We are seeking a dynamic and technically skilled Engineering Maintenance Technician IIto 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. The Automation Engineer will also provide troubleshooting support 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. Required Qualifications: • Master’s or Ph.D. in Electrical Engineering, Computer Science, Automation, Robotics, or related field (Ph.D. with less experience acceptable). • Recent graduate within the last 3 years with 3+ years of automation/AI/OT/controls experience in a GMP-regulated pharmaceutical or medical device environment. • 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 Qualifications: • 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.