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Aveva Predictive Analytics

7 years

0 Lacs

Posted:10 hours ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

Job Title: Support Engineer – AVEVA Predictive Analytics (Predictive Maintenance) 📅 Experience: 2–7 Years 🎯 Role Overview As a Support Engineer for AVEVA Predictive Analytics , you will be responsible for the deployment, integration, troubleshooting, and ongoing technical support of AVEVA’s advanced Predictive Maintenance (PdM) applications, including PRiSM. You will work closely with clients across manufacturing, energy, utilities, and process industries to ensure optimal performance of machine learning-based asset health monitoring solutions. 🛠️ Key Responsibilities Area Responsibilities Technical Support Provide L1/L2 support for AVEVA Predictive Analytics Resolve software, model, or data issues via remote or onsite support Log and track issues via AVEVA support tools (Zendesk, Salesforce, etc.) | Deployment & Configuration | Assist in installing and configuring the Predictive Analytics platform Integrate with PI System , SCADA , DCS , and historian data sources Help onboard assets for real-time monitoring | Model Management | Support creation and tuning of anomaly detection models Assist customers in interpreting asset health scores and alerts Collaborate with data science or engineering teams for deeper diagnostics | Client Training | Conduct training for operators and engineers on dashboards and alerts Document SOPs and troubleshooting guides | Integration & Testing | Validate communication between PdM system and CMMS (SAP, Maximo, etc.) Perform UAT and support go-live for PdM rollouts 🎓 Qualifications & Skills 🎓 Education Bachelor’s Degree in Electrical/Instrumentation/Control Systems/Mechanical Engineering or equivalent 🧠 Technical Skills Experience with AVEVA tools (e.g., Predictive Analytics , PI System , System Platform , InTouch ) Familiarity with SCADA/DCS/PLC systems and historian interfaces Working knowledge of SQL , Python , or scripting for model/data handling Exposure to condition monitoring and reliability engineering concepts 💡 Desirable Skills Experience with AI/ML in asset health monitoring Hands-on with AVEVA Insight , OSIsoft Asset Framework (AF) Basic understanding of MQTT, OPC-UA , or Modbus protocols Knowledge of maintenance strategies: PdM, CBM, RCM Show more Show less

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