AI/ML Engineer – Predictive Maintenance & Industrial Data Analytics 3-6 Years

3 years

0 Lacs

Posted:2 days ago| Platform: GlassDoor logo

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On-site

Job Type

Full Time

Job Description

Job Title:

AI/ML Engineer – Predictive Maintenance & Industrial Data Analytics

Company:

Crest Climbers Software Solutions Pvt. Ltd.
Location: Kodambakkam, Chennai

Job Objective:

We are looking for a highly skilled AI/ML Engineer with experience in Industrial Automation to build and optimize predictive maintenance solutions using time-series data from sensors, SCADA, DCS, and process historians. You will design models that can forecast asset failures and recommend corrective actions using AI/ML techniques.

Key Responsibilities:

  • Design and develop predictive models using sensor, SCADA/DCS, and historian data.
  • Build machine learning pipelines for anomaly detection, failure prediction, and root cause analysis.
  • Integrate with OPC-UA, MQTT, Modbus, and other industrial protocols to collect and process real-time data.
  • Develop dashboards to visualize equipment health, early warning signals, and prescriptive actions.
  • Leverage libraries of failure modes for rotating/static equipment (Pumps, Compressors, Fans, Turbines, etc.).
  • Work with domain experts and mechanical engineers to fine-tune models for practical deployment.
  • Conduct POC and deploy scalable AI/ML systems on edge, cloud, or hybrid infrastructure.

Required Skills & Experience:

  • 3–6 years of relevant experience in AI/ML with industrial or manufacturing data.
  • Strong in Python, Scikit-learn, TensorFlow/PyTorch, Pandas, NumPy
  • Hands-on experience with time-series analysis, anomaly detection, classification, regression models.
  • Exposure to Edge AI, real-time data pipelines, or IIoT platforms (AWS IoT, Azure IoT, Kepware, Ignition, etc.)
  • Familiarity with industrial protocols: OPC-UA, Modbus, MQTT, or historian APIs.
  • Experience with Dashboards – Power BI, Grafana, or custom web dashboards.
  • Ability to translate mechanical/maintenance concepts into data science problems.
  • Strong understanding of predictive maintenance KPIs (MTBF, MTTR, RUL, OEE, etc.)

Preferred Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Electrical/Mechanical Engineering, or related field.
  • Knowledge of vibration analysis, thermography, motor current signature analysis is a plus.
  • Certification in Industrial AI / Azure ML / AWS Sagemaker / IBM Maximo or equivalent tools is advantageous.

Nice to Have:

  • Experience working with tools like InfluxDB, TimescaleDB, Kafka, or Apache Spark.
  • Familiarity with CMMS or EAM systems (SAP PM, IBM Maximo, etc.)
  • Ability to work with cross-functional teams (Operations, Instrumentation, Maintenance)

Contact US
Email: careers@crestclimbers.com
Phone: +91 94453 30496
Website: www.crestclimbers.com
Office: Kodambakkam, Chennai

Job Types: Full-time, Permanent

Schedule:

  • Day shift

Work Location: In person

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