Digital and AI Subject Matter Expert

About the job: 

Kent is looking for a DIGITAL AND AI SME – ROTARY EQUIPMENT INTELLIGENCE – Energy Sector. We are seeking a highly skilled Digital and AI Subject Matter Expert (SME) specialising in Rotating Equipment Intelligence, with in-depth expertise in Honeywell CPAD and real-time data-driven maintenance intelligence. The ideal candidate will lead the design, implementation, and optimization of AI/ML-powered predictive maintenance systems by working closely with cross-functional stakeholders, engineers, OEMs, and digital teams. 

The role is critical to driving high-accuracy equipment failure predictions, enhancing asset reliability, and ensuring seamless integration with existing operational platforms.

Kent is a Leading provider of cutting-edge digital solutions for the energy sector, specializing in oil & gas, renewables, and unconventional energy industries. 

We are dedicated to advancing digital engineering, asset lifecycle management, and digital asset development to optimize performance and streamline operations and maintenance for our clients.

Driven by a commitment to excellence, our Digital and Innovation team leverages industry expertise to deliver outstanding service, fosters innovation, and champion sustainability across the energy sector.

Skills and Responsibilities:  

• Lead the implementation of real-time sensor data acquisition for rotating equipment using suitable communication protocols (e.g., OPC UA, MQTT, Modbus).
• Ensure sub-1-second data latency across deployed sensors for immediate system responsiveness.
• Oversee seamless integration with Honeywell CPAD, Process Historians, and SCADA/DCS systems.
• Develop and manage pipelines for cleaning, preprocessing, and validating large volumes of sensor data.
• Expertise in Implement logic to handle the removal of noisy or invalid data points, Format transformation and normalization and Data scaling, time-alignment, and error detection.
• Lead the development of machine learning models for rotating/static equipment using historical and real-time data.
• Knowledge of tailored the data characteristics and prediction goals.
• Develop, Train and validate models targeting failure prediction accuracy using independent datasets.
• Maintain explainability, traceability, and model governance during the implementation.
• Deploy AI models to enable live anomaly detection and condition monitoring across critical assets.
• Build intuitive dashboards showing alerts, anomaly severity, ranked failure risks, and quantified impacts.
• Integrate findings with operator panels and Honeywell CPAD visualizations.
• Configure real-time alerting systems that deliver insights within seconds of anomaly detection.
• Provide actionable maintenance recommendations for >90% of detected anomalies.
• Enable dynamic maintenance planning via AI-driven thresholds and risk-based prioritization.
• Implement advanced AI algorithms to detect complex failure patterns not previously visible in CPAD systems.
• Integrate insights back into CPAD and other enterprise platforms (APM, CMMS, etc.).
• Develop intelligent tracking systems for Equipment run hours, Changeover management and MTBF / MTTR analysis aligned with ISO 14224 standards.
• Ensure seamless system integration with Asset Performance Management (APM), Enterprise Asset Management (EAM) and Reliability-Centered Maintenance (RCM) tools
• Collaborate closely with Maintenance, Engineering, OEMs, and Data Science teams to ensure end-to-end functionality.

In addition to the responsibilities listed herein, the employee may be required to perform other ad-hoc tasks as needed or directed by the supervisor or management. These tasks will be within the reasonable scope of the employee's skills, capabilities, and role within the organization. The intent of this provision is to allow for flexibility and adaptability in meeting the dynamic needs of the organization, ensuring that operational requirements can be met efficiently. All such tasks will be assigned considering the employee's current workload and with respect to their professional development.

Your knowledge/skills, education, and experience: 

Knowledge/ Qualification/ Training/ Certification: 

• Bachelor's or Master’s degree in Data Science, Mechanical Engineering, Mechatronics, AI/ML, Computer Science, or a related field.

Communication:

• Excellent command of the English language in both oral and written communication and skills.

Behavior/ Core Competencies:

• 10–15 years of experience in Digital Transformation or AI implementation in Oil & Gas, Petrochemical, or Energy sectors.
• Proven track record in:
  • Rotating equipment diagnostics
  • Real-time data systems
  • AI/ML deployment for asset management
  • Predictive analytics and APM/CPAD integration

Technical Skills:

• Hands-on expertise with Honeywell CPAD platform
• Proficiency in Python, R, SQL, and tools like TensorFlow, PyTorch, Scikit-learn
• Familiarity with OSIsoft PI, Maximo, SAP PM, or AVEVA Predictive Analytics
• Working knowledge of OPC UA, MQTT, and real-time data ingestion frameworks
• ISO 14224-compliant analysis tools
• Experience with cloud-based IIoT platforms (Azure IoT, AWS IoT Greengrass)

Soft Skills:

• Strong communication and stakeholder management skills.
• Proven leadership in cross-functional teams and vendor coordination.
• Strategic thinking with a practical, delivery-focused approach.
• High attention to detail and strong documentation capabilities.

HSSEQ:

The Employee shall observe the Health, Safety, Sustainability, Environment and Quality rules of the Company; it’s clients and the governing authorities of the host country.

Details about the role: 

Location:  UAE or India

Relocation required: Possibly

Travel required: Possibly

Contract type: Permanent 

Experience level: 10+ Years