Data & AI Engineer – Machine Data Intelligence

Role : Data & AI Engineer Machine Data Intelligence (Predictive Maintenance & Anomaly Detection)

Location: Bangalore

Department: Data & AI Competence Center Industry 4.0

Role Overview

We are looking for a Data & AI Engineer specializing in machine and sensor data intelligence to

design, build, and deploy advanced AI solutions for predictive maintenance, anomaly detection,

and process optimization.

This role focuses on production-grade industrial AI, turning high-frequency machine data into

reliable insights that improve uptime, stability.

Key Responsibilities

Predictive Maintenance & Reliability

Design and deploy predictive maintenance solutions using machine and sensor data

Model equipment degradation, early failure indicators, and remaining useful life (RUL)

Reduce unplanned downtime through data-driven maintenance strategies

Anomaly Detection & Process Intelligence

Develop anomaly detection models for

o Machine behavior deviations

o Process instability and drift

o Sensor faults and data quality issues

Build AI models for process monitoring and optimization

Identify root causes of quality and throughput losses using machine data

Machine Data & AI Engineering

Work with high-frequency time-series data from

o PLCs

o Sensors

o Industrial controllers and machines

Design and implement scalable data pipelines from shop-floor systems to analytics and AI

platforms

Apply modern ML and deep learning approaches to sensor and machine data

Integrate AI models into operational workflows and production systems

Deployment & Collaboration

Collaborate closely with

o Automation and controls engineers

o Production and maintenance teams

o IT and data platform teams

Support deployment of AI solutions in real production environments, including edge and

near-real-time use cases

Contribute to standards, reusable components, and best practices within the Data & AI

Competence Center

Required Qualifications

Bachelor s or Master s degree in

o Engineering

o Computer Science

o Data Science

o or a related technical field

5+ years of experience working with machine data, IoT, or industrial AI

Strong hands-on experience with

o Python for industrial AI and data processing

o Modern machine learning and deep learning frameworks (PyTorch preferred)

Proven experience with

o Predictive maintenance

o Anomaly detection

o Process monitoring or optimization

Deep understanding of

Hands-on experience with industrial data connectivity, such as

o OPC UA

o MQTT

o Industrial data historians

Experience deploying AI models in

o Edge environments

o Near real-time production systems

Knowledge of

o Condition monitoring

o Reliability engineering concepts

o OEE and process KPIs

Experience with process optimization using machine data

Familiarity with MES, SCADA, or manufacturing IT landscapes