How You Will Make An Impact .Develop Industrial AI Models: Design, build, and deploy AI/ML models for predictive maintenance, asset performance monitoring, and downtime reduction.
Optimize Industrial Processes: Use AI to reduce variability, optimize production schedules, and improve quality control in manufacturing and process industries.
Integrate AI with OT Systems: Work with SCADA, PI systems, IoT, MES, and EHS to extract, process, and analyze real-time industrial data.
Enhance AI-Driven Automation: Develop AI algorithms that support autonomous operations, fault detection, and prescriptive analytics.
Implement Edge AI Solutions: Deploy AI models on edge devices for real-time decision-making at industrial sites.
Ensure Scalable AI Deployments: Work with cloud AI platforms (AWS, Azure, GCP) to build scalable AI-driven industrial applications.
Collaborate with Cross-Functional Teams: Partner with process engineers, automation teams, and data scientists to deliver AI solutions aligned with business goals.
Drive AI Innovation:



Stay ahead of emerging trends in generative AI, reinforcement learning, and industrial digital twins to drive continuous improvements.
What You Bring to The Team5+ years of experience in industrial AI, machine learning, or data science applied to manufacturing, energy, or process industries.
Expertise in time-series analysis, predictive maintenance, anomaly detection, and optimization algorithms .
Solid experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-Learn) and big data technologies (Spark, Kafka).
Knowledge of industrial protocols (MQTT, OPC UA, Modbus) for AI-driven automation.
Experience in cloud AI platforms (AWS Sagemaker, Azure ML, Google Vertex AI) and Edge AI solutions .
Familiarity with digital twins, industrial IoT, and APM (Asset Performance Management) systems .
Strong problem-solving skills, with the ability to work in rapid-paced industrial settings.

📌 Industrial Ai Architect Hyderabad
🏢 Innovapptive
📍 Hyderabad